What You'll Do:

• Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.
• Actively contribute to the wider research community by sharing and publishing original research
• Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.
• Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
• Be results-oriented in the face of ambiguous problems and uncertain outcomes

What You'll Bring:

• Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.
• High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR).
• Significant real-world impact, as demonstrated through open source contributions and deployed technology.
• Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
• Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.

Why work at Abridge?

• Be a part of a trailblazing, mission driven organization that uses audio as the wedge to improve the healthcare delivery experience
• Unlimited PTO, plus 12 national holidays
• Comprehensive and generous benefits package:
100% coverage of employee medical, dental and vision
75% coverage for dependent medical, dental and vision
401k program
• 16 weeks paid parental leave, for all employees
• Flexible working hours — we care more about what you accomplish than what specific hours you’re working
• Remote work environment
• Equity for all new employees
• Generous equipment budget for your home office setup ($1600)
• Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup.
• Plus much more!

Position Summary

Adept thrives at the intersection of research and product. As a research engineer, you will play a crucial role in developing and implementing AI models, algorithms, and systems that solve real-world challenges. You will collaborate closely with a multidisciplinary team of engineers and researchers to translate cutting-edge AI techniques into practical solutions that address specific user needs.

The ideal candidate is someone who has a strong understanding of computer systems, a good intuition for the scientific method, and comfort with operating under uncertainty.

Responsibilities:

• Handle the hard challenges that arise when translating novel research ideas into production
• Brainstorm unusual data sources and figure out how to get them
• Build, operate, and maintain large-scale data and training pipelines
• Design and run experiments to improve our understanding of data and model performance
• Work closely with our modeling teams to build and source the best datasets possible

Qualifications:

• Strong programming skills and a good understanding of computer systems more generally
• Excellent communication and collaboration skills, both verbal and written
• Bonus: experience building and managing large scale data pipelines
• Bonus: experience with deep learning and running machine learning experiments at scale

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Position Summary

Adept is building our own large-scale models to support our mission of creating useful general intelligence. In this role, you’ll work directly on our fundamental research challenges, advancing the state of the art in model and agent capabilities. The ideal candidate is someone who has produced and implemented machine learning research of substantial practical importance. This job involves designing and running large-scale experiments on complicated infrastructure, so strong experimental intuition and programming skills are also necessary.

Responsibilities:

• Work in a team setting to understand the behavior and limitations of our current models
• Develop, implement, and test ideas for significantly improving those models
• Drive the downstream implementation of these improvements all the way to deployment, with an eye toward user-perceptible performance improvements

Qualifications:

• Excellent quantitative intuition and problem solving skills
• Experience driving long-term, ambiguous research projects to completion - ideally with significant practical impact
• Excellent communication and collaboration skills, with the ability to work effectively with other researchers and the infrastructure and product teams

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

About OctAI: OctAI stands at the cutting edge of AI-driven music creation, merging the realms of artificial intelligence with the boundless world of music. We aim to revolutionize how music is crafted, providing tools that blend traditional artistry with modern technology.

Position Overview: We’re seeking a talented and passionate Music/Audio AI Engineer to join our dynamic team. In this role, you will contribute to developing state-of-the-art AI algorithms and models geared towards music generation, sound design, and audio processing. If you're eager to push the boundaries of what AI can achieve in the realm of music, we’d love to meet you.

Key Responsibilities:

1. AI Model Development:
• Design, implement, and optimize AI models for music generation, audio processing, and sound design.
• Work closely with the product and engineering teams to integrate AI technologies into user-facing applications.
2. Research and Innovation:
• Stay updated with the latest advancements in AI, machine learning, music theory, and audio signal processing.
• Innovate and experiment with novel approaches and technologies to enhance the quality and creativity of AI-generated music.
3. Data Management:
• Collaborate with the data acquisition team to identify, curate, and preprocess datasets for model training and evaluation.
• Enhance data augmentation and preprocessing techniques to improve model performance.
4. Evaluation and Optimization:
• Evaluate the performance of AI models, implementing improvements and optimizations to enhance creativity, realism, and user experience.
• Collaborate with cross-functional teams to translate user feedback into technical enhancements.

Qualifications:

• Master’s or Ph.D. degree in Computer Science, Music Technology, or a related field.
• Proven experience in AI/ML, with a focus on music or audio processing.
• Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML framework.
• A strong foundation in digital audio processing, NLP, music theory, and/or sound design.
• Creative problem-solving skills, innovation mindset, and attention to detail.
• Excellent communication skills to collaborate effectively with a diverse team.

What We Offer:

• Competitive salary and equity options.
• Flexible work schedule and remote work options.
• An opportunity to be part of a groundbreaking team and create a huge impact in the AI music world
• Work on a daily basis with the founding team and world-class mentors from AI2

To apply, please send your resume and relevant documents to yihaoch@octaimusic.com

OctAI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Semiconductor chips are the driving force behind the modern technology-driven world. They power everything from cars to rockets, sensors to servers, and have a crucial role to play in several major industries, making the $1T semiconductor industry a vital component of the global economy. However, designing modern semiconductor chips is a costly, engineering-intensive process, further worsened with archaic tools. With the rising complexity of chips, time and cost to market continues to rise.

To address this, we're reimagining how chips are designed using modern advancements in AI to reduce time/cost to market dramatically. With a growing number of organizations designing their own chips and the rising consumption of semiconductors in day-to-day life, the work you will do will significantly impact the lives of many. We are super excited about what we are building; come join us!

What are we looking for?

We are looking for an exceptional Applied Research Engineer to join our founding team and contribute to improving our in-house large language models (LLMs). In this role, you will apply cutting-edge techniques to fine-tune LLMs and implement novel ways to improve their performance on our target applications.

This is a unique opportunity to work at the forefront of LLMs while surrounded by exceptional researchers and builders at AI2. As a founding member of a rapidly growing startup, you will significantly impact the product and shape its future. We offer competitive pay, benefits, and equity, and believe this position will be fulfilling for you.

Ideal Candidate

Several years of full-time experience in applied ML roles, preferably in a fast-paced environment like early-stage startups.

Non-negotiable

• Deep passion for technology. Self-driven individual with a sense of urgency
• Detail oriented and a strong desire to build high-quality customer-focused products

Requirements

• Prior experience in fine-tuning large language models required
• Experience in building diverse and high-quality datasets
• Strong programming skills in Python
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Exposure to or active participation in the latest research and advancements in NLP

Preferences

• Experience in code generation with LLMs
• Experience setting up infrastructure for training large deep-learning models

Not Necessary

• Experience in chip design is NOT necessary

ABOUT US

We are a small but passionate group with a mission to dramatically reduce the time, cost, and engineering effort needed to build complex silicon chips. Our founding team comprises of experts in chip design, AI, and modern software stacks. In past lives—we were researchers, engineers, and leaders at major chip design/AI companies like Qualcomm, Nvidia, Facebook, Google, etc. We also count the Paul Allen Institute for AI as a co-founder, one of the world’s leading A.I. research institutions. We recently raised a pre-seed funding round and are moving fast to build for our customers.

WHY JOIN

As a funded startup, we also have several unique benefits that you can’t really get anywhere else:

• Personal impact — The opportunity to build something from the ground up and define a new product for an industry that is at the core of the modern technological revolution.
• Access to unique learning opportunities — With the Allen Institute for AI (AI2) as a co-founder, our team gets access to numerous talks by leading AI researchers/paper authors, knowledge sharing amongst the community of hundreds of engineers working for AI2 companies, and much more. As a part of the multi-disciplinary team, you get to interact with people from very different backgrounds (from chip design to AI to software engineers).
• Founding title — You will be one of our first hires. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction.
• Early-stage equity — Early-stage risk comes with early-stage equity for you. And none of us would be here if we didn’t think our company would create tremendous value over time.
• Benefits — In spite of being an early-stage company, taking care of our team is a priority for us. From health insurance to catered lunches, we continue to add unique benefits.

Engineering Manager, Machine Learning — WellSaid

Who We Are: WellSaid Labs

We’re creating Voice for everyone.

At WellSaid Labs, we enable creatives around the globe by putting high-tech, human parity technology into their hands, giving them the ability to add voice-over to any project and iterate with ease. Creative teams use WellSaid Lab’s Voice Studio to create compelling employee training, design unique digital experiences, and narrate audiobooks. We believe deeply in AI for Good, and that technology should be empowering, engaging, and fair to all people.

Who You Are: A People-First Engineering Leader

An experienced and collaborative engineering manager, you are an empathetic leader, and a strong communicator. You thrive in a startup environment, have experience building up engineering teams to productize research, and have prior experience managing machine learning teams. You are passionate about pushing the state-of-the-art in deep learning ethically.

How You’ll Contribute:

As an Engineering Manager in Machine learning, you will work closely with our Engineering Leadership to instill best practices, execute on complex pioneering deep learning efforts, and mentor our team mates. You will lead our team in improving our state-of-the-art text-to-speech models alongside content moderation. You will be leading both our data engineers and software engineering in maturing our platform and applying our research.

In your day-to-day, you'll work on:

• Build out our machine learning team from 5 to 10 through thoughtful planning and onboarding.
• Roadmap machine learning initiatives, and keep people up-to-date. Break down big initiatives into smaller tasks.
• Ensure that complex projects be planned, executed, and successfully delivered according to common cross-team standards.
• Manage multiple machine learning projects simultaneously, leading backlog grooming and sprint planning, and generally ensuring that deliverables are met on time.
• Work one-on-one with team members to meet their needs, giving team members regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
• Work side-by-side with the team to demonstrate your knowledge and keep your skills current.
• Conduct design and code reviews with the team.
• Adapt and train the team in best practices for machine learning and software engineering. This includes adhering to the scientific process for research. And various engineering philosophies including testing, documentation, readability, defensibility, etc.
• Help build customer empathy by introducing, discussing and reviewing customer use-cases.
• Surface and lead discussions on the ethics and social impact of the team's work.
• All together you’ll foster an inclusive team culture and working environment.

What We’re Looking For

To thrive in this role, you ideally have experience developing and extending difficult deep learning models in PyTorch, an aesthetic for crafting readable delightful code, and a genuine care for employees as people.

Ideally, you also have some combination of the following:

• Experience leading the development of a mature production machine-learning service.
• 2+ years of experience using Pytorch professionally.
• You have built and deployed ML models for a non-technical audience, clearly communicating usage guidelines and best practices.
• You deeply understand deep learning RND workflows, practices, and techniques.
• 2+ years of experience managing a software engineering team.
• You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
• Excellent communication and collaboration skills to work effectively with cross-functional teams, including data engineers, product managers, and other stakeholders.
• You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
• You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.

To join our team you must also:

• Be a U.S. Citizen or Permanent Resident
• pass a pre-employment background check

What We Offer

WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.

Other perks and benefits:

• Competitive salary and stock options
• Full medical, dental, and vision insurance
• Matching 401(k) plan
• Generous vacation policy/paid time off
• Parental leave
• Learning & development stipend
• Home office stipend

As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $180,000 - $210,000 and represents the target offer range given the scope and experience expectations for this role.

What to Expect From Us

We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.

During the interview stage, you can expect:

• An introductory interview with the hiring manager (50 minutes); if there’s a match we’ll schedule an interview loop with the team.
• An Interview loop with 5-6 interviews (1 hour each) with the team members you will be potentially working with, 2 of which will incorporate coding elements.

All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.

WellSaid Labs is honored to be an equal opportunity workplace. We realize that by bringing together teams rich in diverse thoughts and experiences, our people, company, and customers are free to flourish. We are committed to providing equal employment opportunities regardless of race, color, national origin, religion, creed, genetic information, sex (including pregnancy, sexual orientation or gender identity), age, marital status, disability, military or veteran status; or any other protected classifications or characteristics under applicable local laws.

Our Values

• Building with Intent: We build with intent and consider the impacts of what we are building and who we serve.
• Collaborate at Work: We work collaboratively and transparently with out team, customers, and voice actors, and the community.
• We are Accountable: We hold ourselves accountable for our technology, the biases in our processes, and trust in us.
• A Company That Lasts: We are building a lasting company by valuing people and resources, in pursuit of AI for Good.

About the AI2 Incubator:

The AI2 Incubator helps entrepreneurs come up with ideas, find co-founders, engage pilot customers, refine their product, work with research paper authors to incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding. They have a strategic relationship with the Allen Institute for A.I.—a world-leading research institute with over 200 A.I. PhDs, researchers, engineers, and support staff—allowing them to dive deep into the latest tech and access one of the most talented groups of researchers.

PRIVACY NOTICE & DISCLAIMER: This job post is managed by The Allen Institute for Artificial Intelligence (AI2). AI2's job posts may include open roles for third parties, where applications are coordinated with the hiring party. By submitting your application, you hereby consent to AI2 processing your information as described in its Privacy Policy. You further consent to AI2's disclosure of your information and application materials to AI2 Incubator Inc. or AI2 Incubator startup companies.

ABOUT US

We are an early stage startup using generative AI to fundamentally change life sciences research and accelerate the pace of biomedical discovery.

Genomic data are at the heart of most modern molecular studies and tools, from basic research to clinical decision support, but these data are hard to work with. Genomic data require expensive laboratories, sophisticated computational infrastructure, and big teams to produce and analyze. Generating and analyzing genomic data takes weeks or months. We’re building generative AI models to cut that time down to minutes or hours.

Our platform addresses a huge need in the large and rapidly growing use of genomics in research, from basic science to therapeutic development. mRNA therapeutics alone - a subset of the overall market we serve - is projected to be a $100 billion market by 2026. This is an opportunity to be part of a mission to transform life sciences R&D by dramatically accelerating the pace of discovery.

WHO WE ARE

Our team has dedicated their careers to moving the needle in biomedical research and education and has a deep understanding of how to build a transformative product in this space. Our founders each have ~20 years of experience in life sciences, genomic data generation and analysis, and AI/ML and data science. Our team has leading experts in the design, execution, collection, and application of AI/ML methods to large biological studies; has previously led and scaled startups; and are experts in scientific training and enablement. We have lived the problem and are ready to solve it!

WHAT YOU’LL DO IN THIS ROLE

We are looking for a head of machine learning who wants to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery.

You will help to set and build out our machine learning program and long-term technical vision:

• Be part of the founding team to develop and iterate roadmap for model development
• Build generative models for experimental biology data
• Develop and implement evaluation framework and metrics for models
• Apply experiences and insights on the challenges to building forward-focused models that can transform how life sciences data are generated, analyzed, and interpreted
• Recruit and build out our machine learning team

TYPICAL QUALIFICATIONS

The best candidates do not always match the limited criteria mentioned in the job description. If you are excited about our vision and feel that you could be a valuable asset to our team, please apply.

This role requires experience with building AI/ML models. The exact types of models can vary, but a desire and ability to learn quickly is essential. An interest in applying your skills to our mission is the key ingredient.

Tech skills

• Experience building generative models using PyTorch, Tensorflow, JAX, or similar
• Knowledge of common generative architectures, including transformer and diffusion models
• Experience training and deploying AI/ML models in production environments
• Knowledge of cloud computing environments and privacy-preserving architectures
• Experience with Microsoft Azure, AWS, or Google Cloud Platform
• Knowledge of key MLops, including model training, hosted inference options, and both batch and stream processing.

Experience

• Creating ML teams and models from scratch
• Experience in model development and deployment at scale in either large tech or growth- stage startup companies
• Building models that are relevant to highly technical scientific domains
• No minimum number of years or degree requirements, provided demonstrated understanding of the range of approaches needed (e.g., model architectures, cloud infrastructure, etc.)
• Desired: Ideally, you have recruited, managed, and led a machine learning team
• Desired: Ideally, you have some exposure to or interest in learning about genomic measurement technologies and life sciences research

Approach

• Innovation-focused
• Open-minded and adaptable; willing to change focus and direction quickly in response to product/market demands
• Comfortable working both independently and in close collaboration with your own team as well as other teams with complementary expertise
• Strong communication and desire to be a key player
• Focused on identifying, developing, and mentoring junior team members

WHY YOU’LL LOVE WORKING WITH US

Our founders have strong reputations as thoughtful, forward-thinking colleagues and mentors who cultivate talent. We’ll think intentionally and collaboratively about your career and how we build our team. Our founders’ experiences in workforce development and commitment to diversity, equity, and inclusion are central to our approach.

• Impact — Our platform will accelerate the pace of scientific discovery and therapy development to advance human health. This is an opportunity to build something from the ground up, define a new product, and lead a team over time in a space that has a real, positive impact.
• Early employee impact — As a member of the very early team, you will play a pivotal role in helping shape our product, team, and culture. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction. It looks great on a resume, too.
• Early stage equity — A benefit of joining early. None of us (neither our founders nor our investors) would be here if we didn’t think that our company will create tremendous value over time.
• Salary — We are a startup. You can expect salary raises that bring you closer to market rates as we grow. Plus, you’ll have the energy and excitement of a startup and the unique benefits and learning opportunities of taking an early risk.
• Flexible location and hours – We are whole people with whole lives and expect that you are, too. We’ll trust each other to make progress as a team, in times and places that work for everyone. Preference for Seattle area. Travel to Seattle will be required from time to time – it’s a beautiful city!
• Visa support - We cannot provide visa support at this time.

About the AI2 Incubator:

The AI2 Incubator helps entrepreneurs come up with ideas, find co-founders, engage pilot customers, refine their product, work with research paper authors to incorporate the latest A.I. techniques into their technology, and raise millions of dollars in venture funding. They have a strategic relationship with the Allen Institute for A.I.—a world-leading research institute with over 200 A.I. PhDs, researchers, engineers, and support staff—allowing them to dive deep into the latest tech and access one of the most talented groups of researchers.

PRIVACY NOTICE & DISCLAIMER: This job post is managed by The Allen Institute for Artificial Intelligence (AI2). AI2's job posts may include open roles for third parties, where applications are coordinated with the hiring party. By submitting your application, you hereby consent to AI2 processing your information as described in its Privacy Policy. You further consent to AI2's disclosure of your information and application materials to AI2 Incubator Inc. or AI2 Incubator startup companies.

As an AI Engineer at Kira, you will:

• Write programs using AI to improve student learning experience by implementing features including but not limited to: autograding coding exercises, giving automated detailed feedback to students, and personalizing a student’s learning experience with adaptive learning techniques.
• Design and audit Kira Learning’s code review processes, and ensure that the company’s code base is maintainable, efficient, and well documented.
• Own end-to-end product execution, including working closely with Kira Learning’s UI/UX designer on interaction and visual design.
• Work closely with Kira Learning’s Product and Content teams to ideate, scope, develop and iterate on end-to-end products as well as specific product features.
• Understand and prioritize student and teacher needs, and translate these into product ideas and features that can be tested.

Your Experience and Skills include:

• Bachelor’s or Master’s degree in Computer Science, or equivalent experience.
• 2+ years experience as an AI engineer leading software design decisions, defining and managing end-to-end project requirements, and shipping complex products with minimal guidance.
• Strong understanding of machine learning algorithms
• Familiarity and experience working with NoSQL databases like MongoDB.
• Familiarity and experience working with AWS.
• Impeccable attention to detail.
• Experience leading software engineering projects in a rapidly changing environment.
• (Preferred) Strong grasp of frontend web development frameworks, in particular React and Next.js.

Compensation and Benefits:

• Competitive salary and equity package in a well-funded, high-growth company (160k-200k).
• Unlimited paid time off and paid parental leave.
• Top-notch healthcare service.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $91,310 - $129,660

Predoctoral Young Investigator, AllenNLP

Who You Are:

AI2’s AllenNLP team seeks a creative, early career Predoctoral Young Investigator who has a strong interest in natural language processing. Predoctoral Young Investigator (PYI) candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with AI2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.

Please apply by the following deadline: January 15, 2024

Who We Are:

The AllenNLP team envisions language-centered AI that equitably serves humanity. We work to improve NLP systems' performance and accountability, and advance scientific methodologies for evaluating and understanding those systems. We deliver high-impact research of our own and masterfully-engineered open-source tools to accelerate NLP research around the world. In 2023, we are leading the Open Language Model (OLMo) project, in collaboration with other teams across AI2.

Your Next Challenge:

The essential functions include, but are not limited to the following:

The Allen AI Predoctoral Young Investigator offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at AI2 on collaborative projects for the benefit of both AI2’s initiatives and your thesis work.

• Gain strong research experience through direct collaboration with AI2 researchers
• Co-author papers with AI2 researchers and get published in top venues
• Learn about and leverage AI2’s data, engineering infrastructure, and research tools
• Gain industry experience in a supportive, agile, mission-driven environment
• No grant writing, teaching, or administrative responsibilities required

At AI2, we value the importance of taking the next step in your research career - getting your PhD. When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.

What You’ll Need:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $86,520 - $123,600*
*Compensation dependent upon degree attained

Who You Are:

AI2 is seeking passionate, early-career researchers to join us for an internship. Undergraduate, Masters and PhD graduate students in AI-related fields are invited to apply for full-time research internships with us year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, and/or computer vision. International candidates are welcome to apply. Pay is competitive, and visa sponsorship is available.

​​Please apply by the following deadlines:

July 15, 2023 for Spring 2024 | October 15, 2023 for Summer 2024 | January 15, 2024 for Fall 2024

Who We Are:

The AllenNLP team envisions language-centered AI that equitably serves humanity. We work to improve NLP systems' performance and accountability, and advance scientific methodologies for evaluating and understanding those systems. We deliver high-impact research of our own and masterfully-engineered open-source tools to accelerate NLP research around the world. In 2023, we are leading the Open Language Model (OLMo) project, in collaboration with other teams across AI2.

Your Next Challenge:

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

All interns are paired with a mentor and will participate directly in AI2's groundbreaking work. There are no restrictions on publications based on internships. Each of our research teams has a specific application for interested candidates, so please familiarize yourself with our projects and apply to the specific team(s) that best match your skills and interests.

AI2 Research Interns will have the opportunity to do the following tasks:

• Reading the scientific literature to investigate and understand AI research
• Executing AI research under guidance of the mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments
• Meeting with the mentor to discuss research progress and ideas

To see more about our current, future, and past interns, check out our internship page on our website!

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects. This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• External announcement of their award

What You’ll Need:

• Be pursuing a BS, MS, or PhD in computer science or a related field
• Have an interest in cutting-edge artificial intelligence research

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $162,170 - $252,990

Who You Are:

AI2’s AllenNLP team seeks a creative Research Scientist who has a strong foundation in natural language processing. Research Scientists at AI2 contribute to AI2's impact-driven mission in an exciting, fast-paced research environment.

The AllenNLP team collaborates frequently with researchers on AI2’s other teams focused on commonsense reasoning and the Semantic Scholar engine, among others. Our main office has unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

Who We Are:

The AllenNLP team envisions language-centered AI that equitably serves humanity. We work to improve NLP systems' performance and accountability, and advance scientific methodologies for evaluating and understanding those systems. We deliver high-impact research of our own and masterfully-engineered open-source tools to accelerate NLP research around the world. In 2023, we are leading the Open Language Model (OLMo) project, in collaboration with other teams across AI2.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Author and present high-quality scientific papers and presentations for peer-reviewed journals and conferences
• Take a leading role in implementing software systems supporting AI2’s research
• Collaborate with and learn from team members across AI2, including scientists and engineers
• Mentor early-career researchers and interns on their projects
• Develop collaborative relationships with relevant academic, industrial, government, and standards organizations

What You’ll Need:

• A PhD with a focus on natural language processing or a closely related area
• A specific focus and publication track record in one or more of these areas: domain adaptation of NLP to specialized domains (especially technical ones); integrating symbolic and connectionist representations for language; experimental methodology; broad coverage models of semantics and understanding; efficient algorithms for NLP
• Excitement about collaboration and teamwork
• Past contributions to open-source research libraries, including (but not limited to) AllenNLP, and an interest in continuing such activities, are a plus

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $124,760 - $187,140

Who You Are:

AI2’s AllenNLP team seeks a creative, postdoctoral Young Investigator who has a strong interest in natural language processing.

The AllenNLP team collaborates frequently with researchers on AI2’s other teams focused on commonsense reasoning and the Semantic Scholar engine, among others. Our main office has unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

The Young Investigator position:

• Duration: 1-3 years
  Start date: Flexible
  Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

At AI2, we value the importance of securing a faculty or industry position after your Young Investigator term with us. When looking for your next opportunity, you will not be required to use your accrued Vacation or Personal Time to travel and/or conduct interviews.

Your Next Challenge:

• Dedicated AI2 mentor: Mentorship in research, grant writing, and more
• 50% collaborative work on an AI2 project
• 50% work on your own projects

What You’ll Need:

• You are within one year of completing their PhD, or already have a PhD.
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $77,490 - $155,810*
*Compensation dependent upon degree attained

Who You Are:

Are you passionate about taking artificial intelligence to the next level, to solve problems that require modeling, reasoning, and explanation? We are looking for talented researchers interested in applying their skills towards the next generation of intelligent systems, and pursuing our mission of AI for the common good.

After our success on Eighth Grade Science Exams, the Aristo project has broadened its mission towards problems requiring a both reading and explanation. This ambitious undertaking will require new advances in machine reading, natural language understanding, common-sense knowledge acquisition, machine inference, and more. We are looking for motivated people ready to take on a complex challenge with huge potential impact for the future of AI.

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

Please apply by November 1st for Summer, February 1^st for Fall, and August 1^st for Spring. We will also review late applications for these sessions, if there are still spaces available or if our needs change.

Your Next Challenge:

PhD, Masters and Undergraduate students in computer science are invited to apply for an internship on the Aristo team year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, or computer vision. All interns are paired with an Aristo mentor and participate in AI2's groundbreaking work. There are no restrictions on publications based on internships. Pay is competitive, and visa sponsorship is available.

To see more about our current, future, and past interns, check out our internship page on our website!

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects. This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• Potential future employment opportunity at AI2
• External announcement of their award

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Why AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization — because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity — We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion — We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance — we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent — we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle — and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly — chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $162,170 - $252,990

Who You Are:

Are you passionate about taking artificial intelligence to the next level, to solve problems that require modeling, reasoning, and explanation? We are looking for talented researchers interested in applying their skills towards the next generation of intelligent systems, and pursuing our mission of AI for the common good.

After our success on Eighth Grade Science Exams, the Aristo project has broadened its mission towards problems requiring a both reading and explanation. This ambitious undertaking will require new advances in machine reading, natural language understanding, common-sense knowledge acquisition, machine inference, and more. We are looking for motivated people ready to take on a complex challenge with huge potential impact for the future of AI.

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

We have a beautiful office on Lake Union in Seattle; super-smart, friendly and helpful co-workers; catered lunches; great pay and benefits; and even a couple of kayaks you can take out on sunny days.

Your Next Challenge:

AI2 currently has projects in the following areas:

• Language and Vision
• Information extraction and semantic parsing
• Question answering
• Language and reasoning
• Machine learning and theory formation
• Semantic search
• Natural language processing
• Diagram understanding
• Visual knowledge extraction and visual reasoning
• And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

What You’ll Need:

We are looking for energetic, inspired individuals with skills in one or more of the following areas:

• Machine reasoning
• Natural language processing
• Large-scale language modeling
• Question answering and explanation

We are particularly interested in researchers with a passion for the larger vision of AI, building systems that can read, reason, and understand.

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $124,760 - $187,140

Who You Are:

Are you passionate about taking artificial intelligence to the next level, to solve problems that require modeling, reasoning, and explanation? We are looking for talented researchers interested in applying their skills towards the next generation of intelligent systems, and pursuing our mission of AI for the common good.

After our success on Eighth Grade Science Exams, the Aristo project has broadened its mission towards problems requiring both reading and explanation. This ambitious undertaking will require new advances in machine reading, natural language understanding, common-sense knowledge acquisition, machine inference, and more. We are looking for motivated people ready to take on a complex challenge with huge potential impact for the future of AI.

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

We have a beautiful office on Lake Union in Seattle; super-smart, friendly and helpful co-workers; catered lunches; great pay and benefits; and even a couple of kayaks you can take out on sunny days.

Who You Are:

• Duration: 1-3 years
  Start date: Flexible
  Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

Your Next Challenge:

• Dedicated AI2 mentor: Mentorship in research, grant writing, and more
• 50% collaborative work on an AI2 project
• 50% work on your own projects

At AI2, we value the importance of securing a faculty or industry position after your Young Investigator term with us. When looking for your next opportunity, you will not be required to use your accrued Vacation or Personal Time to travel and/or conduct interviews.

What You’ll Need:

• Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $91,310 - $129,660

Who You Are:

PYI candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with AI2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.

Why Mosaic:

Interested in building machines with commonsense intelligence? With the Mosaic team, you will be at the forefront of research in Commonsense in AI. As a Pre-doctoral Young Investigator, you’ll have the opportunity to work on various aspects of commonsense in AI:

• How should we model commonsense reasoning capabilities?
• How should we represent commonsense in our AI models?
• How should we reason across modalities -- e.g. images and text?
• How should we collect and organize commonsense knowledge?
• How should we benchmark commonsense reasoning capabilities of AI?
• How should we reason through generation?
• How should we identify and mitigate biases in our datasets?
• How should we <your ideas here>?

Your Next Challenge:

The Allen AI Predoctoral Young Investigator on the Mosaic team offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at AI2 on collaborative projects for the benefit of both AI2’s initiatives and your thesis work.

• Gain strong research experience through direct collaboration with AI2 researchers
• Co-author papers with AI2 researchers and get published in top venues
• Learn about and leverage AI2’s data, engineering infrastructure, and research tools
• Gain industry experience in a supportive, agile, mission-driven environment
• No grant writing, teaching, or administrative responsibilities required

At AI2, we value the importance of taking the next step in your research career - getting your PhD. When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Remote Hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $77,490 - $155,810*
*Compensation dependent upon degree attained

Who You Are:

AI2 is seeking passionate, early-career researchers to join us for an internship. Undergraduate, Masters and PhD graduate students in AI-related fields are invited to apply for full-time research internships with us year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, and/or computer vision. International candidates are welcome to apply. Pay is competitive, and visa sponsorship is available.

​​Please apply by the following deadline:

November 6, 2023 for Summer 2024

All applications made by November 6, 2023 will be given full consideration, any applications received after this date will be considered on a rolling basis.

Who We Are:

Interested in building machines with commonsense intelligence? With the Mosaic team, you will be at the forefront of research in Commonsense in AI.

• How should we model commonsense reasoning capabilities?
• How should we represent commonsense in our AI models?
• How should we reason across modalities -- e.g. images and text?
• How should we collect and organize commonsense knowledge?
• How should we benchmark commonsense reasoning capabilities of AI?
• How should we reason through generation?
• How should we identify and mitigate biases in our datasets?
• How should we <your ideas here>?

Your Next Challenge:

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

All interns are paired with a mentor and will participate directly in AI2's groundbreaking work. There are no restrictions on publications based on internships. Each of our research teams has a specific application for interested candidates, so please familiarize yourself with our projects and apply to the specific team(s) that best match your skills and interests.

AI2 Research Interns will have the opportunity to do the following tasks:

• Reading the scientific literature to investigate and understand AI research
• Executing AI research under guidance of the mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments
• Meeting with the mentor to discuss research progress and ideas

To see more about our current, future, and past interns, check out our internship page on our website!

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects. This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• External announcement of their award

What You’ll Need:

• Be pursuing a BS, MS, or PhD in computer science or a related field
• Have an interest in cutting-edge artificial intelligence research

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $162,170 - $252,990

Who You Are:

Applicants for Research Scientist on the Mosaic team at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

AI2’s Mosaic team seeks a creative Research Scientist who has a strong foundation in NLP and machine learning. Research Scientists at AI2 contribute to AI2's impact-driven mission in an exciting, fast-paced research environment. They also have the opportunity to:

• Author and present high-quality scientific papers and presentations for peer-reviewed journals and conferences
• Take a leading role in implementing software systems supporting AI2’s research,
• Collaborate with and learn from team members across AI2, including scientists and engineers,
• Mentor early-career researchers and interns on their projects, and
• Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

The Mosaic team collaborates frequently with researchers on AI2’s other teams focused on machine learning and the Semantic Scholar engine, among others. Researchers excited about such internal and external collaborations are encouraged to apply.

Why Mosaic:

Interested in building machines with commonsense intelligence? With the Mosaic team, you will be at the forefront of research in Commonsense in AI. As a Young Investigator, you’ll have the opportunity to work on various aspects of commonsense in AI:

• How should we model commonsense reasoning capabilities?
• How should we represent commonsense in our AI models?
• How should we reason across modalities -- e.g. images and text?
• How should we collect and organize commonsense knowledge?
• How should we benchmark commonsense reasoning capabilities of AI?
• How should we reason through generation?
• How should we identify and mitigate biases in our datasets?
• How should we <your ideas here>?

Your Next Challenge:

AI2 currently has projects in the following areas:

• Language and Vision
• Information extraction and semantic parsing
• Question answering
• Language and reasoning
• Machine learning and theory formation
• Semantic search
• Natural language processing
• Diagram understanding
• Visual knowledge extraction and visual reasoning
• And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

What You’ll Need:

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $124,760 - $187,140

Who You Are:

• Duration: 1-3 years
  Start date: Flexible
  Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

Why Mosaic:

Interested in building machines with commonsense intelligence? With the Mosaic team, you will be at the forefront of research in Commonsense in AI. As a Young Investigator, you’ll have the opportunity to work on various aspects of commonsense in AI:

• How should we model commonsense reasoning capabilities?
• How should we represent commonsense in our AI models?
• How should we reason across modalities -- e.g. images and text?
• How should we collect and organize commonsense knowledge?
• How should we benchmark commonsense reasoning capabilities of AI?
• How should we reason through generation?
• How should we identify and mitigate biases in our datasets?
• How should we <your ideas here>?

Your Next Challenge:

• Dedicated AI2 mentor: Mentorship in research, grant writing, and more
• 50% collaborative work on an AI2 project
• 50% work on your own projects
• Commonsense Reasoning:
• Modeling: How should we build models that demonstrate commonsense reasoning?
• Multimodality: How should we build models that can reason from information obtained from different modalities -- e.g. images and text?
• Generation
• Commonsense Evaluation:
• Benchmarking: How should we evaluate commonsense reasoning of AI?
• Commonsense Knowledge Acquisition:
• Crowdsourcing
• Mining implicit commonsense from large text / image corpora

At AI2, we value the importance of securing a faculty or industry position after your Young Investigator term with us. When looking for your next opportunity, you will not be required to use your accrued Vacation or Personal Time to travel and/or conduct interviews.

What You’ll Need:

• Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Remote eligible: Persons in these roles are welcome to work remotely from any state in the US.

Compensation Range: $77,490 - $155,810*
*Compensation dependent upon degree attained

AI2’s Perceptual Reasoning and Interaction Research team (PRIOR) is looking for PhD, Masters and Undergraduate interns to join our team. PRIOR seeks to advance computer vision to create AI systems that see, explore, learn, and reason about the world. Learn more about PRIOR here.

As a research intern in the PRIOR team, you will have the opportunity to work in a variety of research areas including:

• Embodied AI - Enable agents that safely navigate, manipulate objects, and follow instructions in simulation and in the real world (w/ real robots)
• Language & Vision - Make vision and language systems more general, efficient, and capable
• AI for Common Good - Apply AI to help address global challenges such as climate change, illegal fishing, and wildlife poaching
• Open Source Projects - Make substantial contributions to the tools needed for robust, reproducible, and distributed experimentation (including AllenAct framework for Embodied AI)

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace. There are no restrictions on publications based on internships. Pay is competitive, and visa sponsorship is available.

The PRIOR team greatly values diversity and aspires to create an inclusive environment. To see more about our current, future, and past interns, check out our internship page on our website!

Please apply by November 14th, 2022 for Summer 2023.

All applications made by November 14th, 2022 will be given full consideration, any applications received after this date will be considered on a rolling basis.

Our initial round of interviews will be scheduled in early December with decisions made by the end of the year.

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects. This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• External announcement of their award

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Why AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization — because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity — We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion — We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance — we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent — we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle — and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly — chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Remote eligible: Persons in these roles are welcome to work remotely from any state in the US.

Compensation Range: $162,170 - $252,990

AI2’s Perceptual Reasoning and Interaction Research team (PRIOR) seeks to advance computer vision to create AI systems that see, explore, learn, and reason about the world. PRIOR is currently seeking Research Scientists at all levels.

Your Next Challenge:

PRIOR is looking for Research Scientists to work in a variety of research areas in computer vision including:

• Embodied AI
• Language and Vision
• Visual knowledge extraction
• Visual reasoning
• Representation learning
• Scene analysis and understanding
• Recognition, detection and segmentation
• Efficient deep learning
• And more ...

Research Scientists in the PRIOR team will work on multiple exciting research projects in the above areas, but will also have the opportunity to contribute and engage in a variety of other activities critical to our research and mission. These include opportunities to lead select projects, mentor interns and pre-doctoral candidates, author and present scientific papers and presentations for peer-reviewed journals and conferences and collaborate with researchers at other organizations including universities.

What You Will Need:

Research Scientist applicants at PRIOR should have a strong foundation (typically PhD level) in one or more of the research areas listed above. We look favorably upon extensive work experience and publishing peer reviewed work at top scientific venues in our field including CVPR, ECCV, ICCV, NeurIPS, etc.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization– because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity -We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion -We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Remote eligible: Persons in these roles are welcome to work remotely from any state in the US.

Compensation Range: $124,760 - $187,140

AI2’s Perceptual Reasoning and Interaction Research team (PRIOR) seeks to advance computer vision to create AI systems that see, explore, learn, and reason about the world.

The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on a PRIOR project while pursuing an independent research agenda.

Benefits:

• Mentorship in research, grant writing, and more
• 50% collaborative work on a PRIOR project
• 50% work on your own projects
• Generous travel budget
• AI2 provides support for obtaining a visa through its immigration attorney, and pays the necessary expenses
• Access to AI2’s data, AWS infrastructure, and other resources as needed
• No grant writing, teaching, or administrative responsibilities
• Opportunity to mentor interns and pre-doctoral candidates
• $100K research funding from AI2 after completion (based on proposal)

As a YI in the PRIOR team, you will have the opportunity to work in a variety of research areas including:

• Embodied AI
• Language and Vision
• Visual knowledge extraction
• Visual reasoning
• Representation learning
• Scene analysis and understanding
• Recognition, detection and segmentation
• Efficient deep learning
• And more ...

At AI2, we value the importance of securing a faculty or industry position after your Young Investigator term with us. When looking for your next opportunity, you will not be required to use your accrued Vacation or Personal Time to travel and/or conduct interviews.

What You Will Need:

Young Investigator applicants at PRIOR should have a strong foundation (PhD level) in one or more of the research areas listed above. We look favorably upon extensive work experience and publishing peer reviewed work at top scientific venues in our field including CVPR, ECCV, ICCV, NeurIPS, etc.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization– because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity -We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion -We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $91,310 - $129,660

Predoctoral Young Investigator

Who You Are:

As a Predoctoral Young Investigator on our team, you’ll have the unique opportunity to see your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar (semanticscholar.org).

We collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

See our team page (https://www.semanticscholar.org/research/publications) for examples of our work.

Predoctoral Young Investigator (PYI) candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with AI2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.

Please apply by the following deadline: October 31, 2023

If you have questions about the hiring process or timeline, please consult our team hiring FAQs or reach out to s2-research-careers@allenai.org with further questions.

Who We Are:

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

Your Next Challenge:

The essential functions include, but are not limited to the following:

The Allen AI Predoctoral Young Investigator offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at AI2 on collaborative projects for the benefit of both AI2’s initiatives and your thesis work. For potential candidates who are choosing between entering a PhD program or seeking employment in industry, the PYI program can provide valuable exposure to graduate-level research and help inform your career decisions.

PYIs on our team have the opportunity to:

• Define and lead ambitious, high-impact research projects,
• Collaborate with and learn from team members across AI2, including scientists and engineers,
• Author scientific papers for publication in high-profile conferences or journals,
• Implement and share open source software to improve access to our research,
• Contribute to the Semantic Scholar project through new models or software systems.
• Learn about and leverage Semantic Scholar & AI2 data, engineering infrastructure, and research tools,
• Gain experience in a supportive and fast-paced industry research environment

At AI2, we value the importance of taking the next step in your research career - getting your PhD. When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.

What You’ll Need:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program
• Excited about conducting graduate-level research in natural language processing, human-computer interaction, language and vision, machine learning, information retrieval, knowledge representation, data science, or other related fields. We do not require prior experience in these areas, but successful PYI candidates are those who have been able to articulate why they’re interested in pursuing research in these areas & why they’re uniquely qualified to do so.
• Experience with one of the following: (1) full-stack web app prototyping, (2) training and evaluating NLP models, or (3) large-scale text analysis.

Bonus qualifications:

• Preprints or publications on AI-related topics at AI or HCI venues.
• Experience with deep learning frameworks (e.g. PyTorch, Tensorflow).
• Familiarity with modern web front-end frameworks (e.g. React).
• Contributions to open-source research libraries (e.g. AllenNLP, spaCy).
• Experience conducting user studies.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Remote eligible: Persons in these roles are welcome to work remotely from any state in the US.

Compensation Range: $77,490 - $155,810*
*Compensation dependent upon degree attained

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

AI2 is seeking Research Interns to join our Semantic Scholar Research team. Research interns on our team contribute to AI2's mission to conduct ambitious research in an exciting, fast-paced research environment. They have the opportunity to:

• Define and lead a high-impact research project
• Collaborate with and learn from team members across AI2, including scientists and engineers,
• Author a scientific paper for publication in a high-profile conference or journal
• Implement and share open source software to improve access to our research
• Contribute to the Semantic Scholar project through a new model or software system.

All interns are paired with one or more mentors from the Semantic Scholar Research team. We encourage open collaboration on intern projects with other researchers, both at AI2 and at external institutions. We have no restrictions on publishing papers based on our internships. Our pay is competitive, and visa sponsorship is available. To see more about our current, future, and past interns, check out our internship page on our website!

We've received many applications for start dates in 2023 and are currently reviewing. Please check in Fall 2023 for start dates in 2024. If you have questions about the hiring process or timeline, please consult our team hiring FAQs or reach out to s2-research-careers@allenai.org with further questions.

What you’ll need:

• Pursuing a PhD in Computer Science or related fields. We will also consider non-PhD applicants with exceptional research experience.
• Strong software engineering skills.
• Research experience in natural language processing, human-AI interaction, language and vision, machine learning, information retrieval, knowledge representation, data science, or other related fields.

Bonus qualifications:

• A strong publication record in AI-related areas. Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML.
• Experience with deep learning frameworks (e.g. PyTorch, Tensorflow).
• Contributions to open-source research libraries (e.g. AllenNLP, spaCy).
• Familiarity with building web interfaces. Understanding how to turn an idea into a working, browser-based interface is a plus.

Why Semantic Scholar?

As a Research Intern on our team, you’ll have the unique opportunity to see your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar (semanticscholar.org).

We collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

See our team page (https://www.semanticscholar.org/research/publications) for examples of our work.

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects. This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• Potential future employment opportunity at AI2
• External announcement of their award

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Why AI2:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization — because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity — We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion — We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance — we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent — we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle — and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly — chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $162,170 - $252,990

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

AI2 is seeking a Research Scientist to join our Semantic Scholar Research team.

Research Scientists on our team contribute to AI2's impact-driven mission in an exciting, fast-paced research environment. They have the opportunity to:

• Conduct high-impact research, lead research projects, and author scientific papers for publication in high-profile computing conferences and journals,
• Collaborate with and learn from team members across AI2, including scientists and engineers,
• Mentor early-career researchers and interns on their projects,
• Implement and share open source software to improve access to our research, and
• Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

We are currently hiring for start dates in 2023. If you have questions about the hiring process or timeline, please consult our team hiring FAQs or reach out to s2-research-careers@allenai.org with further questions.

What you’ll need:

• One year or less from completing your PhD, or already have a PhD in Computer Science or related field, with specific focus in one or more of our team’s active research areas.
• A strong publication record in AI-related areas. Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML. Contributions to research communities (e.g. workshop organization, tutorials) are a plus.
• Strong software engineering skills. Experience with deep learning frameworks (e.g. PyTorch, Tensorflow). Contributions to open-source research libraries (e.g. AllenNLP, spaCy) are a plus.

Why Semantic Scholar?

As a Research Scientist on our team, you’ll have the unique opportunity to see your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar (semanticscholar.org).

We collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

See our team page (https://www.semanticscholar.org/research/publications) for examples of our work.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Remote hybrid: Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.

Compensation Range: $124,760 - $187,140

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

AI2 is seeking a Postdoctoral Young Investigator to join our Semantic Scholar Research team. Young Investigators on our team contribute to AI2's impact-driven mission in an exciting, fast-paced research environment. They have the opportunity to:

• Conduct high-impact research, lead research projects, and author scientific papers for publication in high-profile computing conferences and journals,
• Collaborate with and learn from team members across AI2, including scientists and engineers,
• Mentor early-career researchers and interns on their projects,
• Implement and share open source software to improve access to our research, and
• Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

The Allen AI Young Investigator is a 1 to 3 year postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an AI2 project while pursuing an independent research agenda. Details about the program can be found at: https://allenai.org/young-investigators

At AI2, we value the importance of securing a faculty or industry position after your Young Investigator term with us. When looking for your next opportunity, you will not be required to use your accrued Vacation or Personal Time to travel and/or conduct interviews.

We are currently hiring for start dates in 2023. If you have questions about the hiring process or timeline, please consult our team hiring FAQs or reach out to s2-research-careers@allenai.org with further questions.

What you’ll need:

• One year or less from completing your PhD, or already have a PhD in Computer Science or related field, with specific focus in one or more of our team’s active research areas.
• A strong publication record in AI-related areas. Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML. Contributions to research communities (e.g. workshop organization, tutorials) are a plus.
• Strong software engineering skills. Experience with deep learning frameworks (e.g. PyTorch, Tensorflow). Contributions to open-source research libraries (e.g. AllenNLP, spaCy) are a plus.

Why Semantic Scholar?

As a Young Investigator on our team, you’ll have the unique opportunity to see your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar (semanticscholar.org).

We collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.

See our team page (https://www.semanticscholar.org/research/publications) for examples of our work.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

Who We Are:

In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:

• We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.

AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and are eligible to receive up to $150 reimbursement for health and wellbeing expenses per month.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses.

About the Role:

We are seeking a passionate research engineer to join our AI Research team. The AI Research team develops the cutting edge deep learning, NLP, search, and generative AI algorithms that power AlphaSense Search and AI products. You'll work closely with a team of talented researchers and engineers to deliver scalable solutions for our world class AI powered search platform.

Who You Are:

• An expert in machine learning and deep learning. Ideally, you possess an advanced degree in Computer Science, Computer Engineering or relevant field with a focus on machine learning, but equivalent industry experience may be considered
• Familiar with the state-of-the-art deep learning and natural language processing research
• Extremely proficient in developing end-to-end NLP models using Python and NLP libraries like Spacy and HuggingFace
• Familiar with deep learning frameworks like PyTorch and TensorFlow
• An excellent communicator with strong organizational, problem-solving, debugging and analytical skills

What You’ll Do:

• Develop highly scalable deep learning models and take them all the way to production
• Perform cutting edge research in deep learning, machine learning & natural language processing
• Work closely with cross-functional teams to translate product requirements into machine learning architectures
• Own systems end-to-end including design, code, training, testing, deployment and iteration

Want to hear more?

You can apply by sending your cover letter and resume through the application form.

For more information, please contact Purva Shinde or by mobile at +91 8766889504 or by email: pshinde@alpha-sense.com

Representative Projects

• Discover, test, and document best practices for a wide range of tasks relevant to our customers.
• Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs.
• Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers.
• Work with large enterprise customers on their prompting strategies.

You may be a good fit if you:

• Have 3-5 years of relevant or transferrable experience.
• Have at least a high level familiarity with the architecture and operation of large language models.
• Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others.
• Are excited to talk to motivated customers and help solve their problems.
• Have a creative hacker spirit and love solving puzzles.
• Have at least basic programming skills and would be comfortable writing small Python programs.
• Have an organizational mindset and enjoy building teams from the ground up.
• You think holistically and can proactively identify the needs of an organization.
• Make ambiguous problems clear and identify core principles that can translate across scenarios.
• Have a passion for making powerful technology safe and societally beneficial.
• You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders.
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
• You stay up-to-date and informed by taking an active interest in emerging research and industry trends.

Annual Salary (USD)

• The expected salary range for this position is $250k - $375k.

Compensation and Benefits*

Logistics

Representative projects

• Using Constitutional AI to improve AI safety, reliability, and performance in deployment
• Profiling and improving the compute efficiency of various RL implementations
• Design and manage untrusted execution environments
• Scaling a distributed training job to thousands of GPUs
• Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

You might be a good fit if you

• Have extensive software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts and long-term implications of your work

Strong candidates may also have experience with some of the following

• High performance, large-scale ML systems
• GPUs, kubernetes, pytorch, OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Annual Salary (USD)

• The expected salary range for this position is $250k - $450k.

Compensation and Benefits*

Logistics

You might be a good fit if you

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with some of the following

• High performance, large-scale ML systems
• GPUs, kubernetes, pytorch, OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Representative projects

• Optimizing the throughput of a new attention mechanism
• Comparing the compute efficiency of two Transformer variants
• Making a Wikipedia dataset in a format models can easily consume
• Scaling a distributed training job to thousands of GPUs
• Writing a design doc for fault tolerance strategies
• Creating an interactive visualization of attention between tokens in a language model

Responsibilities:

• Build infrastructure for running experiments and visualizing results
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models
• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
• Work with colleagues to communicate results internally and publicly

You may be a good fit if you:

• Have significant software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about interpretability research
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• GPUs, Kubernetes, Pytorch, or OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Representative Projects:

• Garcon - a tool which allows researchers to easily access LLMs internals from a jupyter notebook
• ETL pipelines for collecting and analyzing LLM activations at large scale
• Profiling and Optimizing ML Training, including parallelizing to many GPUs
• Make launching ML experiments and manipulating+analyzing the results fast and easy
• Writing a design doc for fault tolerance strategies
• Creating an interactive visualization of attention between tokens in a language model
Familiarity with python is required for this role.

Annual Salary:

• The expected salary range for this position is $280k - $520k USD.

Responsibilities:

• Research Engineers will be responsible for designing and running the evaluations needed to measure dangerous capabilities in models, and determine when we cross an ASL threshold.
• You’ll work with world class experts in fields like biosecurity, autonomous replication, cybersecurity, and national security, and experiment with new evals, in order to measure how risky AI systems are.
• Done well, this will inform decisions at the highest levels of the company

You may be a good fit if you:

• Have an ML-focused background and engineering and research skills (e.g. experience in Python)
• Are driven to find solutions to ambiguously scoped problems
• Design and run experiments and iterate quickly to solve machine learning problems
• Thrive in collaborative environment (we love pair programming!)
• Have experience training, working with, and prompting models
For all workstreams, experience designing and building evaluations would be valuable, but is definitely not essential. For National Security threats workstreams, we will particularly value experience working on confidential or sensitive projects and demonstrated integrity, responsibility, and trustworthiness. We will also value domain specific knowledge, although it is not necessary. For ARA threats workstreams, we would value experience with language model agents, although this is not essential.

Sample Projects:

• CBRN risks – working with external experts in the field of biosecurity to design clear and repeatable CBRN evaluations, based on a summary of dangerous biological capabilities. Using our post training infrastructure to prepare new generations of models for routine evaluations.
• Cyber risks – working with external cyber experts to co-design a set of clear and repeatable cyber evaluations. This is likely to involve building custom environments or additions onto existing tooling and infrastructure, or locating specialized datasets.
• ARA risks – building infrastructure and tooling for testing for these capabilities, and iterating with external ARA experts to scope possible tasks. This will involve building custom “testing environments” and new infrastructure.

Annual Salary (USD)

• The expected salary range for this position is $280k - $520k

You might be a good fit if:

• (Required) At least 1 research project related to machine learning in which you played a major role
• You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned.
• You like writing up and communicating your results, even when they're null.
• You like working on a team and making collaborative, data-driven research decisions.
• You believe that a great way to discover a new, big-picture vision is to first get involved in the details.
• You have experience doing quantitative science in another field.

Your responsibilities will include:

• Designing, proposing and running experiments on our systems. These will range from developing basic probes for different capabilities in models (such as assessing a given system for fairness traits); to designing comparative studies to understand how well these systems complement humans (for example, by analyzing how interacting with an AI system alters human behavior); to developing comprehensive suites of tests we can run complicated systems through (such as developing ways to evaluate the broad capabilities displayed by modern language models).
• Partnering closely with our other researchers to fully understand, analyze and evaluate state-of-the-art research across a broad range of capabilities and safety research.
• Interfacing with, providing feedback on and publicly communicating about our internal technical infrastructure and tools, with a goal of them better supporting the societal impact analysis of AI systems.
• Developing tools, evaluation suites and tests that enable understanding of AI systems for policymakers, academia, civil society and more.
• Working with the policy and other research teams to share these tools to the above stakeholders and incorporating their feedback and requests.
• Sharing your insights from your work by contributing to Anthropic research publications, giving presentations to external groups, and partnering with our policy team to articulate insights to governments.
• Generating net-new insights about the potential societal impact of systems being developed by Anthropic, and using this understanding to inform Anthropic strategy, research and policy campaigns.

You might be a good fit, if:

• You have experience assessing machine learning models for unknown traits within known capabilities (for instance, assessing the outputs of a generative model to discover what parts of a dataset are being magnified and minimized).
• You have a track record of using technical infrastructure to interface effectively with machine learning models
• You enjoy and are skilled at writing up and communicating your results, even when they’re null.
• You’re comfortable creating your own research agenda and executing against it.
• You find it exciting to partner with colleagues on ‘big science’ projects, where the whole company works to build one AI artefact and then analyze it.
• You have a prior background in data science, or another technical field which involves interfacing with technical artefacts and generating insights about them.
• You’re passionate about communicating the insights from your research to external stakeholders, ranging from academics to policymakers to other research labs.
• You have an interest in AI policy; this role offers the chance to partner with Anthropic policy to turn your research insights into actionable recommendations for governments.

Some examples of our work:

• Predictability and Surprise in Large Generative Models
• Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
• The Capacity for Moral Self-Correction in Large Language Models
• Opportunities and Risks of LLMs for Scalable Deliberation with Polis
• Towards Measuring the Representation of Subjective Global Opinions in Language Models
• Challenges in evaluating AI systems
• Collective Constitutional AI: Aligning a Language Model with Public Input
• Unpredictable Abilities Emerging from Large AI Models [MIT Tech Review]
• Language models might be able to self-correct biases—if you ask them [Wired]
• Collective Constitutional AI [NYTimes]
• Red team data — used to make open source models, e.g., Lama-2 more harmless!
• GlobalOpinionQA - measuring whose global values LMs are aligned with.

Annual Salary (USD)

• The expected salary range for this position is $250k-375k.
For this role, we are open to a 6-month residency at Anthropic (with the opportunity to convert to full-time after).

Responsibilities:

• Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system
• Improve our automated detection and enforcement systems as needed
• Analyze user reports of inappropriate content or accounts and build machine learning models to detect similar instances proactively
• Surface abuse patterns to our research teams to harden models at the training stage

You may be a good fit if you:

• Have 4+ years of experience in a data scientist, research scientist, or research/ML engineering position, preferably with a focus on security, spam, fraud, or abuse detection.
• Have proficiency in SQL, Python, and data analysis/data mining tools.
• Have proficiency in building behavioral classifiers or anomaly detection.
• Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
• Care about the societal impacts and long-term implications of your work.

Strong candidates may also:

• Have experience building trust and safety AI/ML systems, such as fraud detection or account integrity models
• Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
• Have experience with full stack engineering to build internal tooling
• Have experience with high performance, large-scale ML systems
• Have experience with language modeling with transformers
• Have experience with reinforcement learning
• Have experience with large-scale ETL

Annual Salary

• Anthropic has a collaborative engineering culture and provides competitive compensation. The expected salary range for this position is $300k - $450k USD.

Opportunity

Cloud spend is expected to hit roughly $600 billion this year, growing at 22.5% YoY.

Nearly half of all enterprises struggle to control cloud expenses and more than a quarter take weeks or months to detect cost increases.

Cloud costs are the fastest growing expenditure and primary source of budgetary complexity for most companies, requiring a great deal of ongoing effort and resources.

Role

As a Machine Learning Engineer, you will work on one of the most exciting parts of Antimetal—our AI engine. You will play a critical role in development and implementing cost optimization and anomaly detection algorithms that can help businesses optimize their cloud resource usage.

You will be responsible for designing and building machine learning models and algorithms, implementing and testing them at scale, integrating them into our production systems, and monitoring their performance.

You

You should have at least 3 years of experience in machine learning and data science, preferably in a high-growth company, plus:

• Thorough understanding and experience with machine learning models and how they work

• Strong Python programming skills and experience with relevant libraries such as TensorFlow, PyTorch, and scikit-learn

• Experience using big data technologies such as Spark, Hadoop, and Kafka

• Extensive experience with at least one of AWS, Azure, and GCP

• Excellent algorithmic thinking skills

• High level of autonomy and independence

• Strong communication skills

• Detail oriented

• Creative

• Fast learner with the ability to adapt to ambiguity

• Ability to own and manage projects end-to-end

Location

Preferably NYC, but open to exceptional candidates anywhere (in reasonable time zones)

As part of this role, you will:

• Build extensions to existing open source LLMs such as adding support for function templates
• Push the boundaries of existing LLM applications (e.g. building cutting edge question answering applications)
• Develop features to enable production deployment of LLMs (e.g. what does CI for LLMs look like? How do you do evals of LLMs)
• Work on systematically improving the quality of LLM Application
• Jointly define your own projects as the ecosystem evolves
• Work closely with the first 50 users of the things you build
• Help us build a world class company

We'd love to hear from you if you have:

• 3+ years of experience working as an an applied scientist, research engineer or software engineer focused on LLMs
• You enjoy coding for 50% or more of your time
• Solid fundamentals in algorithms, data structures, system design
• Domain expertise in LLMs and generative AI

Bonus points!

• Experience working with systems engineering aspects of LLMs (e.g. distributed training, autoscaling inference etc)
• Experience with approaches to LLM model improvement and fine tuning (such as LoRA and RLHF)
• Published research in the Gen AI space
• Experience using Ray

Compensation

• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

As part of this role, you will

• Build extensions to existing open source LLMs such as adding support for function templates.
• Push the boundaries of existing LLM applications (e.g. building cutting edge question answering applications)
• Develop features to enable production deployment of LLMs (e.g. what does CI for LLMs look like? How do you do evals of LLMs)
• Work on systematically improving the quality of LLM Application
• Jointly define your own projects as the ecosystem evolves.
• Work closely with the first 50 users of the things you build.
• Help us build a world class company.

We'd love to hear from you if you have:

• 3+ years of experience working as an an applied scientist, research engineer or software engineer focused on LLMs.
• You enjoy coding for 50% or more of your time.
• Solid fundamentals in algorithms, data structures, system design
• Domain expertise in LLMs and generative AI.

Bonus points!

• Experience working with systems engineering aspects of LLMs (e.g. distributed training, autoscaling inference etc)
• Experience with approaches to LLM model improvement and fine tuning (such as LoRA and RLHF)
• Published research in the Gen AI space
• Experience using Ray

Compensation

• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

As part of this role, you will:

• Build performant, scalable, fault-tolerant distributed machine learning libraries that power the next generation of machine learning platforms around the world
• Work on difficult architectural problems and turn them into reality
• Work with a team of leading experts in the areas of distributed systems and machine learning
• Work with engineering managers and product managers to lead and grow an extremely talented team of software engineers
• Work closely with open source community (with ML researchers, ML engineers, data scientists) to scope and build new abstractions for scalable machine learning
• You like to work closely with end users and iterate on the product with them
• Help us build and shape a world-class company

We'd love to hear from you if you have:

• 7+ years of building, scaling and maintaining software systems in production environments
• Solid fundamentals in algorithms, data structures, system design
• Experience with machine learning frameworks and libraries (PyTorch, Tensorflow)
• Experience designing fault-tolerant distributed systems
• Strong architectural skills

Bonus points!

• Experience working with a cloud technology stack (AWS, GCP, Kubernetes)
• Experience building machine learning training pipelines or inference services in a production setting
• Experience with managing and maintaining open source machine learning libraries
• Experience managing small teams in pursuit of an ambitious technical goal
• Experience using Ray

Compensation

• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

About Arthur:

This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact. We are an equal opportunity employer and believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked.

About the role

Arthur is looking for multiple product-focused Machine Learning Engineers to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision.

What you'll do

• Focus on ML, especially LLMs, model performance, security, and robustness: make LLM and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users – for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasets
• Build out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithms
• Identify, create, and deploy large-scale explainability methods for tabular, image, text, and other data – including human-centered explanations for generative AI applications
• Run machine learning experiments independently and in collaboration with product and research teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events

What we're looking for

• 3-5+ years of professional experience in Machine Learning, or in Engineering providing strong ML support, or in Data Science/Statistics with very strong Engineering expertise
• Experience with deploying ML models to production and with comprehensive model risk management
• Deep interest in LLMs (to start) and multimodal generative models (soon!), specifically around measuring bias or performance
• Enthusiasm for staying up to date on the latest developments in the field – we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projects
• Understanding of software engineering best practices, version control, and containerization
• Experience with deep learning frameworks, such as JAX, Tensorflow, or PyTorch, in addition to deep experience writing production-grade Python
• Knowledge of and ability to (re)learn statistical methods and contemporary ML algorithms
• Customer empathy and a willingness to engage directly with customers and stakeholders
• Experience with public cloud services, such as AWS, Google Cloud, or Azure

You might also have (nice to have)

• Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc.
• Experience or interest in explainability and fairness of recommender systems
• A body of ML-focused publications (we tend to have a presence at NeurIPS/ICML, KDD, AAAI, CHI, and the newer responsible AI conferences like SaTML, FAccT, and AIES), technical blogging, and/or open source projects
• A Masters or PhD in a quantitative field – we’re not sticklers for degrees (many of us have Masters/PhDs, so we intimately understand this isn’t the only way to be a domain expert)

What to expect at Arthur

• Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag
• A team of professionals who are passionate about our work and making a positive impact through AI
• A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work
• Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back
• Joy, humor, and a little dose of healthy competition (in our business, we win as a team; on company game night, may the best Arthurian win…)

We offer

• Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching)
  • Our target base salary range for this role is $160,000 - $230,000, based on your experience and how your skills align with role requirements
• Equity in what we’re building together, backed by some of the most respected VCs in the industry
• A flexible learning and development budget: we’ll support ways to learn and grow in the areas that matter to you
• Highly discounted wellness and fitness benefits
• Flexible PTO with vacation minimums, which we really want you to take and enjoy
• The ability to work in a highly flexible hybrid environment with our team from home, and from our NYC office

***

Arthur is an equal-opportunity employer; we believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This reflects in our desire and commitment to build teams that comprise different backgrounds and experiences. Arthur provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About the role:

AssemblyAI is growing quickly, and we’re searching for a Speech Researcher specializing in Speech Technology to join our Speech team! With significant investment and strong leadership to fuel our growth, it’s the perfect time to join AssemblyAI.

What You’ll Do:

• Execute ambitious research projects that have the potential for a high impact on AssemblyAI’s products and services, as well as on external research and technology communities
• Collaborate with senior researchers and the technology leadership team to effectively execute those research projects and communicate the progresses of the projects
• Engage with research communities through activities such as publishing experimental results or participating in conferences
• Stay up-to-date on the latest research in the speech domain and share this knowledge across the company
• Replicate and examine state-of-the-art speech models based on conference/journal publications
• Collaborate with the engineering team to deploy new models into production

What You’ll Need:

• PhD in Computer Science or a related field; or Master's degree in Computer Science or a related field plus equivalent practical experience
• 3+ years of experience in speech research based on deep learning or machine learning in either an academic or industry setting. Specific research topics include, but are not limited to:
• ASR (e.g., model architecture, ASR robustness).
• Language modeling
• Speaker modeling (e.g., speaker verification, speaker identification, speaker diarization)
• Self-supervised learning for speech or speech-text
• Multilingual speech modeling (multilingual ASR, speech translation, language identification)
• Applications of ASR (e.g., spoken dialogue modeling, speech summarization)
• Paralinguistics (e.g., speech emotion recognition)
• A track record of widely recognized research publications at leading conferences
• Excellent verbal and written communication skills in technical matters

Nice to Have:

• 2+ years experience in applied research in the speech or related industry
• Demonstrated ability to commercialize research results

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $140K - $170K+

About the role:

AssemblyAI is growing quickly, and we’re searching for a Senior Researcher specializing in NLP Modeling to join our NLP team! With significant investment and strong leadership to fuel our growth, it’s the perfect time to join AssemblyAI.

What You’ll Do:

• Provide scientific leadership on high-impact ambitious research projects
• Ensure we are performing sound scientific research that is of publication quality
• Stay up-to-date on the latest research in the NLU domains and share this knowledge with the team
• Replicate state-of-the-art Deep Learning models based on conference/journal publications
• Manage research project priorities, deadlines, and deliverables
• Collaborate with engineering to productionize and release new models to production

What You’ll Need:

• Master's degree in Machine Learning or equivalent practical experience
• 5+ years experience in Machine Learning research
• 4+ years experience in Deep Learning research in either the ASR of NLU domain
• Track record of conference or journal publications
• 2+ years experience in industry applied research in ASR or NLU

Nice to Have:

• PhD in Computer Science, Mathematics, Artificial Intelligence, or a related technical field
• 1+ year of experience mentoring junior researchers on doing research and having it published

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $170K - $230K

About the role:

AssemblyAI is growing quickly, and we’re searching for a Senior Researcher, Speech specializing in Speech Technology to join our Speech team! With significant investment and strong leadership to fuel our growth, it’s the perfect time to join AssemblyAI.

What You’ll Do:

• Provide scientific leadership on ambitious research projects that have the potential for a high impact on AssemblyAI’s products and services, as well as on external research and technology communities
• Engage with research communities through activities such as publishing experimental results or participating in conferences
• Execute those research projects in a scientifically sound manner
• Stay up-to-date on the latest research in the speech domain and share this knowledge across the company
• Replicate and examine state-of-the-art speech models based on conference/journal publications
• Collaborate with the technology leadership team to prioritize the research agenda, define the scopes of research projects, and take charge of their execution
• Collaborate with the engineering team to deploy new models into production

What You’ll Need:

• PhD in Computer Science or a related field; or Master's degree in Computer Science or a related field plus equivalent practical experience
• 5+ years of experience in speech research based on deep learning or machine learning in either an academic or industry setting specific research topics include, but are not limited to:
  • ASR (e.g., model architecture, ASR robustness, acoustic/language modeling).
  • Speaker modeling (e.g., speaker verification, speaker identification, speaker diarization)
  • Self-supervised learning for speech or speech-text
  • Multilingual speech modeling (multilingual ASR, speech translation, language identification)
  • Applications of ASR (e.g., spoken dialogue modeling, speech summarization)
  • Paralinguistics (e.g., speech emotion recognition)
• A track record of widely recognized research publications at leading conferences; or a demonstrated ability to commercialize research results
• Excellent verbal and written communication skills in technical matters

Nice to Have:

• 2+ years experience in applied research in the speech or related industry
• Experience of mentoring junior researchers or PhD students in conducting research and getting it published

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $170K - $230K

The AI Engineer will work with passionate teammates in an innovative company who will champion their efforts. We are in search of an (amazing) AI engineer with strong technical and interpersonal experience. The scope of this role includes design, development, and implementation of AI software. This person will serve as a trusted team member on ML/AI topics. Strong communication skills are a must to provide clear and accurate status reports to multiple stakeholders. Core competencies include creating best of breed architectural specifications for real time cross-application interfaces and allocating requirements to system designs and lead design reviews with technical staff. The right candidate will be a natural go-getter who actively seeks ways to improve software development processes.

Responsibilities

• Apply relevant AI and machine learning techniques to build intelligent edge and cloud visual and data models for spatial sensing, predictive capabilities and proactive user experiences, across various complex physical industries

• Edge & Cloud AI/ML Platform Systems: design, architect and build AI/ML platform tooling and infrastructure, for efficiently training and deploying edge & cloud AI models, on pre-built and custom IOT hardwares

• ML Experimentation: Define user cases and develop methodologies and benchmarks for evaluating different machine learning model approaches
• Build continuous learning systems that automatically iterates and improves the model performance
• Multi-modal AI: Build multimodal AI/ML models that take in multiple forms of inputs and correlates with business critical data.
• Define and deliver high quality APIs with well-encapsulated code
• Use capabilities in Azure and AWS for deployment DevOps pipelines
• Prototype new technologies and approaches to assess alternatives
• Perform high complexity integration testing, distributed development, and validated integration
• Work as a part of an agile team, delivering new functionality on a regular cadence
• Work in a collaborative and fast-paced team environment using effective communication with peers
• Create technical solutions from business objectives through system design and architecture
• Commit to understanding customer needs and creating solutions
• Show ownership and completion of delivery of technical functions
• Provide technical and analytical solutions to evaluate the merits and challenges of customer-based consulting capabilities
• Take responsibility for prevention and early detection of solution defects through verification and validation activities ensuring the integrity and quality of all work products
• Prioritize projects to focus on the most impactful initiatives
• Learn new AI technologies and remain on the cutting edge of the field

Skills and Expertise

• Bachelor's Degree in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, or related field

• 3+ years experience in applicable domains

• Preferred experience leading projects in Artificial Intelligence and/or industrial automation
• Working knowledge of deep learning, machine learning, and statistics
• Proficiency with Python and the standard packages used for Machine Learning (Numpy, Pandas, Scikit Learn, PyTorch)
• Experience in using Python, R or Matlab or other statistical/machine learning software
• Skilled in generating project proposals, collaborating with others, and delivering results
• Experience communicating and presenting to diverse set of people across groups and organization levels
• Prior experience with tech company or fast-growing startup

Bonus

• MS or Ph.D degree in Applied Mathematics, or Computer Engineering, Machine Learning/Artificial Intelligence, or related fields

• Experience with digital transformation projects using AI and IoT

We are in search of an (amazing) AI tech lead with strong technical and interpersonal skills. The scope of this role includes design, development, and implementation of AI models and AI powered software solutions and products. This person will serve as the go-to person on ML/AI topics for the team. Core competencies include strong AI/ML domain knowledge, technical leadership and strong communication skills. The right candidate will be a natural go-getter who actively seeks ways to improve product quality, engineering processes and team culture.

Responsibilities

• Develop multi-modal and predictive machine learning algorithms based on IoT sensor data for enterprise scenarios.
• Develop deep learning algorithms for computer vision tasks.
• Work with embedded system engineers to deploy robust AI solutions on Edge devices.
• Work with product managers and customers to convert AI technologies into value-generating enterprise products.
• Establish ML engineering processes and best practices for a team of 15+ AI engineers.
• Provide design review, code review and mentorship for a team of 15+ AI engineers.
• Contribute to hiring and growing the team by recruiting ML engineers and improving our hiring processes.

Required Experience

• Bachelor's Degree in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, or related field.
• 5+ years experience developing AI/ML algorithms and applications.
• 2+ years experience leading AI/ML teams and projects.
• Domain expertise in machine learning and deep learning algorithms.
• Proficiency with Python and Machine Learning frameworks such as PyTorch.
• Strong data science and analytics skills with tools such as Jupyter notebook.
• Strong software engineering skills in shipping AI softwares to production environments.
• Strong verbal and written communication skills in delivering technical and product context.
• Strong ability to deal with ambiguity and to focus on product impact.

Preferred Experience

• MS or Ph.D degree in Applied Mathematics, Computer Science, Machine Learning/Artificial Intelligence, or related fields.
• 10+ years experience developing AI/ML algorithms and applications.
• 5+ years experience leading AI/ML teams and projects.
• Experience working in a fast-paced and hyper-growth environment, such as startups and early stage teams.
• Experience working with IoT and/or enterprise products.

** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Soho) **

responsibilities:

• Create models that shape the future of video software

• Evaluate the technical and product trade-offs for ML related features

• Ship and iterate on models with a extremely high bar for quality

• Collaborate with the broader team to conceptualize and ship incredible experiences directly to Captions' users

requirements

• Our team is in-person at our office in Soho, New York City

• 5+ years ML industry experience or PhD in computer science, mathematics, statistics, physics or related field

• Experience with deep learning models, including generative and diffusion models

• Strong understanding of Computer Science fundamentals (algorithms and data structures)

Benefits:

• Comprehensive medical, dental, and vision plans

• Anything you need to do your best work

• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future.

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Soho) **

responsibilities:

• Lead, develop, and support a small team of AI researchers and engineers in building state of the art ML models that shape the future of video software.

• Play a critical role in researching and creating novel transformer-based architectures and applying them to solve real world problems

• Lead the development and execution of our AI roadmap and long term strategy, and evaluate the technical and product trade-offs for ML related features

• Collaborate with the broader team to conceptualize and ship incredible experiences directly to Captions' users

requirements:

• 7+ years of ML industry experience (or PhD with 4+ years of ML industry experience). Strong leadership skills, with experience in establishing the technical direction for a high-performing team of AI / ML engineers

• Advanced level knowledge of modern techniques in machine learning and deep learning, particularly in transformer architectures

• Demonstrated experience in researching, architecting, and training deep learning models, including but not limited to GANs, Diffusion models, and NeRFs

• Strong understanding of Computer Science fundamentals (algorithms and data structures)

Benefits:

• Comprehensive medical, dental, and vision plans

• Anything you need to do your best work

• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future.

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About You

You are a generalist with strong understanding of machine learning and experience turning prototypes into products. You are curious and enjoy experimenting with new tools and technology. You communicate complex ideas simply and effectively, and love collaboration.

You will have industry experience working on a range of recommender, machine translation, and related optimization systems. You are interested in applying this experience to developer tools.

You will bring the expertise needed to manage a machine learning lifecycle alongside experienced engineers building AI-powered software for running software.

Role

• Use your machine learning expertise to build products and features for the people that run and operate software

• Come up with original ideas that machine learning can provide value to our users, and rapidly prototype these ideas

• Lead a team from a technical perspective to establish machine learning best practices and influence software engineering culture

• Stay updated with emerging technologies, tools, and practices in the ML field. A strong understanding of ML libraries is one of your strengths. You’ll recommend specific tools and explain why they are the right solution.

• Rapid prototyping and iterative development will be your default methods for testing hypotheses and refining solutions.

• Lead data-related tasks, including data mining and cleaning, to ensure the quality and reliability of our data sources.

• Use standard machine learning methods to best use modern distributed and parallel environments.

Skills

• Knowledge of writing and debugging Python and knowledge of popular machine learning frameworks like PyTorch and JAX.

• Experience in one or more of the following areas: machine translation, recommender systems, natural language processing, or related machine learning field.

• Knowledge of web development patterns—we use Django but any experience with MVC frameworks is good

• Super communication skills— you’ll need to convey your ideas clearly to the team and the public

• Exposure to popular architectural patterns of scalable, data-driven applications

About The Role

As a Software Automation Engineer, you will use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, scalability, and other advanced quality concepts. The position will play a huge role in the quality of Cerebras software. We are looking for engineers that have a broad set of technical skills and who are ready to tackle the biggest at-scale problems in HW-based deep learning accelerators.

Responsibilities

• Write scripts to automate testing and create tools to allow easy development of software regression tests
• Help identify weak spots and potential customer pain points and drive the software organization towards customer focused quality metrics
• Implement creative ways to break software and identify potential problems
• Contribute to developing requirements specifications with a focus on developing verification tests

Requirements

• Enrolled in the University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or other related discipline
• Experience in developing automated tests for compute/machine learning or networking systems within a large-scale enterprise environment
• Ability to take responsibility for monitoring product development and usage at all levels with an end goal toward improving product quality
• Strong knowledge of software system design, C++ and Python

Preferred

• Strong software testing experience with a proven track record in scaling highly technical teams
• Knowledge of UNIX/Linux and Windows environments
• Knowledge of neural network architecture and ML/AI deep learning principles
• Prior experience in designing and developing test automation for HW systems involving ASICs or FPGAs
• Prior experience working with live hardware systems and debug tools operating in a real time environment such as networking devices or live computing systems

Responsibilities

• Create tools and design workflows that enable the development, training, and deployment of machine learning models on our new hardware system
• Map abstract computations expressed via third-party ML frameworks into representations that can then be compiled into highly optimized executables that target Cerebras’ system
• Develop connections between representations of existing deep learning frameworks -- such as TensorFlow, Caffe/2, MXNet, CNTK -- with our customized back-end
• Understand the runtime environments of existing frameworks and our backend, and develop an execution model connecting them together in a way that is seamless to the user

Requirements:

• Enrolled in the University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or other related disciplines
• Understanding of state-of-the-art deep learning model architectures and training protocols
• Direct experience with one ML framework internals (like TensorFlow, PyTorch, ONNX, etc) strongly preferred
• Strong Python and C++ development skills

Preferred:

• Good understanding of how to define custom layers and back-propagate through them
• Experience with supervised deep learning models such as RNNs and CNNs
• Experience in vertical such as computer vision, language modeling or speech recognition