By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI.

About the Role

As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company.

We expect you to:

• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Our team brings OpenAI’s most capable technology to the world through our products. Most recently, we released ChatGPT, GPT-4, the Whisper API, and DALL-E. We empower consumers and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

We are looking for an experienced research engineer to help push the boundaries of our Fine-Tuning API to the next level. You will be responsible for researching and implementing the methods used by developers to customize their models on our API. You will work closely with our research team to explore new and unproven fine tuning methods. You will also collaborate with our engineering team to take those methods and put them into production. Your work will help power the customization of GPT models for developers around the world.

In this role, you will:

• Research and explore the boundaries of foundation model fine-tuning methods for end-customer use cases.
• Deploy your research into production for customers to use.
• Interact with developers to understand their needs.
• Collaborate closely with a broad set of stakeholders, including product, research, go-to-market, and engineering.

You might thrive in this role if you:

• Have prior experience fine-tuning LLMs
• Have experience working with large distributed systems for both model training and inference.
• Have built production machine learning systems at internet scale.
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 - $450,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the team

The Policy Research team at OpenAI is responsible for understanding our company’s current and potential impact on the world, and using that understanding to recommend the best possible policies at OpenAI and elsewhere (“policies” are defined broadly to include laws, safety requirements, industry norms, etc.). Team members have backgrounds in a wide variety of disciplines, including computer science and engineering, law, philosophy, economics, political science, and more, and we use a wide variety of quantitative and qualitative methods to measure, forecast, and analyze OpenAI’s impacts.

About the role

We’re seeking an experienced machine learning researcher to shape and lead the ML research agenda for trustworthy AI.

This is an opportunity to pioneer and prototype new approaches for testing and evaluating the most advanced AI systems – and to harness the most advanced AI systems to do so. The role will include research on the development of novel evaluation methods and interventions for things like dangerous model capabilities and existential risks, fairness and representation, as well as untruthful, hallucinatory, or otherwise undesired model behavior.

If you enjoy tackling deep questions in ML research, thrive in roles where ambitious entrepreneurial pursuit of open-ended goals is rewarded, and are strongly motivated to contribute to the roll-out of advanced general AI systems going well, you will find our work here uniquely challenging and rewarding. This role reports to our Trustworthy AI lead.

This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

In addition, you’ll:

• Research upstream interventions at the level of training data, pre-training, and training
• Research and prototype novel evaluation methods in areas such as dangerous model capabilities and existential risks, fairness and representation, as well as untruthful, hallucinatory, or otherwise undesired model behavior.
• Work with downstream product and infrastructure teams to build and scale effective tools for responsible deployment
• Develop and mentor ML Researchers on the Deployment Planning team
• Architect and develop interventions that improve real world impact

We Expect You To:

• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Have experience developing novel techniques for ML model measurement and mitigation
• Have experience in research mentorship, leading project teams, and setting technical direction
• Be comfortable working cross functionally across both research and product teams

Nice to Haves:

• Past experience in interdisciplinary research collaborations
• Past experience in creating high-performance implementations of deep learning algorithms

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Our Team is responsible for the “post-training” or alignment of ChatGPT. We integrate various improvements from the rest of the company into our RLHF process ultimately producing the models used by millions of users both in the ChatGPT product and API.

About the Role

One of the most important parts of training ChatGPT is building and training on extremely high quality datasets. We are looking for somebody to help us build infrastructure to manage this data! In contrast to most data engineering, dataset size is not the key factor here – instead we aim to bring more insight and continually increase the quality of our training data.

Ideal candidates should have a strong technical background and general knowledge. Given how coupled our data systems are with the underlying models, candidates should have some familiarity with ML / ML Engineering but no formal research background is required.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build systems and tools for researchers to look at and transform datasets.
• Co-design and build experimental primitives used to construct data pipelines to train prototype ChatGPT models.
• Work with the ChatGPT product team building distributed pipelines to look at and understand large scale usage data.
• Help with other, more out there research ideas involving data pipelines.

You might thrive in this role if you:

• Are a team player – willing to do a variety of tasks that move the team forward.
• Experience working in complex technical environments
• Enjoy working in a more research setting – these data systems are new and the right solution is often not clear ahead of time.
• Experience with the Python
• Experience with Kubernetes / distributed infrastructure
• Experience with 1 or more large scale data system such as beam or spark.

Compensation, Benefits and Perks

The annual salary range for this role is $310,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

Our team is responsible for the “post-training” or alignment of chatGPT. We integrate various improvements from the rest of the company into our RLHF process ultimately producing the models used by millions of users both in the ChatGPT product and API.

About the Role

We're seeking an engineer skilled in managing complex technical components, from GPU kernel optimization to front-end evaluation interface development, to support our ChatGPT model's post-training and alignment processes. Challenges are inevitable due to the process complexity; thus, a candidate with a robust technical foundation in data technologies, distributed systems, and reliable software development is desired. Familiarity with ML or ML Engineering is an advantage but not a requirement.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Be responsible for unblocking and keeping our systems running smoothly.
• Be willing to dive into large codebases to debug.
• Be responsible for keeping very large ML training jobs going smoothly.
• Fixing a variety of non-ml software things involving data quality, data prep, job startup speed, CI performance for our team’s tests, and so on.
• Sample projects include:
• Figuring out why a new cluster suddenly has 10% of experiments fail.
• Diagnosing and fixing regressions in our data pipelines.
• Fixing 30% slowdown in our RLHF training code.

You might thrive in this role if you:

• Are a team player – willing to do a variety of tasks that move the team forward.
• Experience working in complex technical environments
• Experience debugging ML systems.
• Experience with Reinforcement learning and or transformers
• Experience with the Python
• Experience with Kubernetes / distributed infrastructure
• Experience with GPU’s
• Experience with 1 or more large scale data system such as beam or spark.

Compensation, Benefits and Perks

The annual salary range for this role is $310,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new capabilities.

About the Role

As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward.

We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs
• Profile and optimize our training framework
• Work with researchers to enable them to develop the next generation of models

You might thrive in this role if you:

• Have run small scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society. The work encompasses a wide range of research and engineering projects from detection to model training to model evaluation and red-teaming, aiming to reduce unwanted use cases and ensure model behavior within our safety standard and legal compliance. The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

To help API users monitor and prevent unwanted use cases, we developed the moderation endpoint, a tool for checking whether content complies with OpenAI's content policy. Developers can thus identify content that our content policy prohibits and take actions (e.g. block it). We seek a Machine Learning Engineer to help design and build a robust pipeline for data management, model training and deployment to enable a consistent improvement on the Moderation model.

In this role, you will:

• Design, develop and maintain a robust and scalable data management pipeline and set up standards for versioning and data quality control. The pipeline should be able to handle data relabeling requests due to content policy changes.
• Build a pipeline for automated model training, evaluation and deployment, including active learning process, routines for calibration and validation data refresh etc.
• Work closely with stakeholders from product, engineering, content policy on a long-term improvement over the moderation models, for both external release and internal use cases across a variety of projects on model safety.
• Research on the latest techniques and methods in deep learning and natural language processing to improve the moderation model across a collection of unwanted content categories.
• Experiment on data augmentation and data generation methods to enhance the diversity and quality of training data.
• Experiment and design an effective red-teaming pipeline to examine the robustness of the model and identify areas for future improvement.
• Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning and human-in-the-loop machine learning.

You might thrive in this role if you:

• Have 3+ years industry experience as a Machine Learning Engineer or Software Engineer, working on building data pipelines, training and deploying machine learning models in production on a daily basis.
• Care deeply about AI safety and passionate about building the best deep learning empowered moderation model to effectively detect unwanted content.
• Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges.
• Have experience working in large distributed systems, deep learning or/and natural language processing is a big plus.
• Love working with a team.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society. The work encompasses a wide range of research and engineering projects from detection to model training to model evaluation and red-teaming, aiming to reduce unwanted use cases and ensure model behavior within our safety standard and legal compliance. The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI.

In this role, you will:

• Set the research directions and strategies to make our AI systems safer, more aligned and more robust.
• Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.
• Coordinate and collaborate with cross-functional teams, including T&S, legal, policy and other research teams, to ensure that our products meet the highest safety standards.
• Actively performing safety audits on AI/ML models and systems, identifying areas of risk and proposing mitigation strategies.

You might thrive in this role if you:

• Ph.D. in computer science, machine learning, or a related field, with 5+ years of related research experience.
• Experience in the field of AI safety, working on topics like RLHF, adversarial training, robustness, fairness & biases, is extremely advantageous.
• Experience in safety work for AI model deployment is a big plus.
• Care deeply about AI safety and motivated by work to make the cutting edge AI models safer for real world use;
• In-depth understanding of deep learning research and/or strong engineering skills is critical for the success of the role.
• Enjoy being a team player.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

Privacy is a cornerstone of our mission at OpenAI. As a part of the Privacy Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and memorization in a large language model. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.

Your responsibilities could involve designing privacy-preserving machine learning algorithms, enhancing the privacy guarantees of our AI models, and studying the trade-offs between model performance and data privacy. You will also work on creating privacy standards and guidelines for AI system development and deployment, and conduct exploratory research to mitigate the unintended consequences of AI and machine learning on privacy. You will have the opportunity to collaborate with various teams at OpenAI to integrate privacy-enhancing methods into our AI systems.

Your work will not only contribute to OpenAI’s goal of ensuring artificial general intelligence (AGI) benefits all of humanity but will also help shape the discourse on privacy in the age of AI, fostering a broader impact on the technology industry and society at large.

About the Role

In this role, you must:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

This role may be a great fit if you:

• Are interested in and thoughtful about the impacts of AI technology
• Have past experience in creating high-performance implementations of deep learning algorithms

Compensation, Benefits and Perks

The annual salary range for this role is $245,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Your Role

Osmo is looking for a Machine Learning Engineer to join our rapidly growing team. Osmo is building an operating system for smell, and the machine learning (ML) platform plays a very important part of modeling and simulating the molecular properties in the real world. We need you to join our world-class and interdisciplinary team to build our capabilities and drive cutting-edge research that can lead to a different future for humanity. You will be a member of the engineering team, reporting to the Head of Engineering.

What you will be doing:

• Improve the performance (speed/accuracy) of our ML platform that spans on a wide range of molecular chemistry problem, especially concerning olfaction.
• Stay up to date with the machine learning literature, especially for their application in molecular chemistry and olfaction, and quickly prototype ideas from the research field.
• Dive deeply into various datasets, understand their characteristic and derive meaningful train and test data for real-world machine learning models and their deployment.
• Develop innovative model architectures and creative data featurizations to take advantage of available data and unlock new ML capabilities.
• Work closely with software engineers and product managers to strengthen the operating system for scent with our ML platform.

What we need to see:

• A strong software engineer who produce high quality code and take pride in their work.
• Comfortable with linear algebra and statistics.
• Experienced in applying machine learning techniques to real-world problems with frameworks such as PyTorch or TensorFlow.
• Interested in learning about molecular chemistry and the biology of olfaction.
• Experience with Bayesian Statistics and Probabilistic Modeling
• Willingness to work in our New York City office 2-5 days a week or travel to New York ~2+ times a quarter to work with the team in person
• US work authorization

Ways to stand out from the crowd:

• Experiences in graph neural networks and their application in cheminformatics problem.
• Work or educational background in chemistry or neural olfaction.
• Familiar with cloud tooling for machine learning at scale.

The opportunity

Do you want to work on cutting edge AI technology that people love to use everyday? Do you want to contribute fundamental research to drive the industry forward? Come work alongside industry-leading scientists and engineers pursuing our mission to make conversations more valuable.

Your impact

• Work with cutting edge technology to reimagine the future of conversations
• Build NLP solutions that help people get unparalleled value from meetings and conversations
• Shape the future of the company by researching and developing new undiscovered capabilities
• Conduct research using large-scale real-world data to unleash the power of speech
• Collaborate with awesome team members to optimize existing features

We're looking for someone who

• Industry experience with large scale data processing and infrastructure, model training and model serving for NLP solutions and algorithms including transformer models and reinforcement learning
• Hands-on experience developing, training and deploying large language models (LLMs) such as BERT, GPT-3, and other transformer-based models for tasks including text generation, summarization, and classification
• Experience working on deep learning frameworks such as TensorFlow or PyTorch for implementing and optimizing deep learning algorithms
• Experience with implementation of algorithms and infrastructures using programming languages such as Python, C++
• Comfort working in a Linux command-line environment
• Bachelor's degree in Computer Science, Machine Learning, NLP or related field

Additional nice-to-haves

• Master or Ph.D. degree(s) in machine learning, speech/language processing or related field
• Industry NLP experience with summarization, question answering, search, recommendation, etc
• Experience with MapReduce, Spark, or similar frameworks

Salary range

Salary Range: $155,000 to $250,000 USD per year.

What you’ll do

• Lead the development of state-of-the-art computer vision algorithms to detect fires both at night and during the day
• Drive improvements in core business metrics for fire detection, including time-to-detect, false positive rate, and cost
• Stay up-to-date with current research and evaluate promising developments for application to fire detection
• Produce clearly written descriptions of finished work and proposals for new projects
• Carefully evaluate the performance of proposed models, including the development and improvement of key datasets
• Work with product management, operations, and software development to create complete end-to-end solutions

What you’ll bring

• Ph.D. in computer vision or a Masters plus equivalent experience researching novel techniques
• 3+ years of industry experience developing and deploying computer vision algorithms for a specific application (e.g. medical imaging, autonomous driving perception, visual search, etc)
• Experience developing models for computer vision tasks using modern deep learning frameworks (e.g. PyTorch)
• Strong programming skills in Python, including processing large-scale image datasets in a cloud computing environment (e.g. Google Cloud or AWS)
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
• Experience adapting deep neural network architectures to align best with specific applications
• Demonstrated ability to write software in a team
• Passion for climate change adaptation and/or firefighting

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs
• Scale and distribute LLM training infrastructure to maximize efficiency
• Optimize evaluation pipelines to ensure accuracy and reliability
• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime
• Continuously improve LLM performance and accuracy

Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems
• Strong programming skills, with a preference for versatile individuals
• Enthusiasm and independence, with a willingness to take ownership of tasks
• A passion for solving challenging problems

Nice to have:

• PhD in Machine Learning or related areas
• Experience building distributed systems

About the Job

[Please note: All current openings are listed on our job board. Please review the currently open positions before applying here.] This posting is specifically for individuals with ML Engineering expertise who have interest in joining Phaidra in the future! Submit your resume/CV here, along with a cover letter explaining what your ideal ML Engineer position is and how your skills would fit with the team. If your interests and experience match a future opening, we will reach out.

Who You Are

Research Scientists at Phaidra lead our efforts in developing novel algorithmic architecture towards the end goal of bringing intelligent control systems to industrial sector.

Having pioneered research in the world's leading academic and industrial labs as PhDs, post-docs or professors, Research Scientists join Phaidra to work collaboratively within and across research fields.

Drawing on expertise from a variety of disciplines including reinforcement learning, deep learning, robotics and multi-agent reinforcement learning, our Research Scientists are at the forefront of groundbreaking research and applying them to real-world.

For this position, we are seeking a team member located within one of the following areas: USA, Canada, UK, EU

Responsibilities

• Design, implement and evaluate models, agents and software prototypes of perceptual processing.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Participate in and organize ambitious collaborative research projects.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Mentor and guide Research Engineers to apply research findings and developments to industrial domains.

Key Qualifications

• PhD in a technical field or equivalent practical experience, with demonstrated knowledge in one of the following:
  • Reinforcement Learning
  • Deep Learning
  • Control Theory
  • Multi-Agent RL
• Extensive research in the fields of {ModelBased, Batch, Safe} RL methods.
• Share our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.

Preferred Skills & Experience

• PhD in machine learning
• Relevant experience to the position.
• A proven track record of publications.
• A real passion for AI and applying to industrial systems to improve resource efficiency.

Our Stack

• Python
• PyTorch, scipy
• Kubernetes, Docker, Ray
• GCP

30/60/90 days

In your first 30 days...

• You will be immersed in an onboarding program that introduces you to Phaidra and our product.
• You will spend time in the research team and get introduced to the different tracks of research that we perform.
• You will learn how other teams operate, interact, and approach problems.
• You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
• You will set up your development environment and get introduced to various parts of our code base.

By your first 60 days...

• You will have a solid understanding of what Phaidra does and how we do it.
• You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
• You will have a good understanding of our research tracks, which allowed you to form a plan for your first project, or maybe, you have already started one.

By your first 90 days...

• You will have been fully integrated in the team and with team members across the company.
• You will have started to contribute to knowledge sharing throughout Phaidra.
• Your project is in full swing and you might have some early results already.

Salary Range

• US Residents: $165,000 - $250,000
• UK Residents: £120,340 - £182,340
• Canada Residents: CA$192,300 - CA$291,375

This position will also include equity.

This is a best faith estimate of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.

Pinecone is pioneering search and database technology to power AI/ML applications for the next decade and beyond. We provide customers with capabilities that until now have only been in the hands of a few tech giants.

If you’re excited about hard problems in the area of AI, machine learning and search technologies, we would love to meet you! We are looking for excellent people who move nimbly between research and production and dare to make an impact.

As a Research Intern at Pineconce, you will be working on cutting edge research at the intersection of information retrieval, deep learning and representation learning. You will be part of the Science team, which is in charge of evolving and revolutionizing how the world does Search. Dependent on performance, there is the opportunity for full-time employment.

Basic Qualifications

• Ph.D. student in Computer Science, Electrical Engineering, Mathematics, Statistics, or any other similarly technical field
• Demonstrated research experience with a proven track record of publications at conferences or journals
• Strong software development skills
• Good written and verbal communication skills in English

Bonus points

• Knowledge / experience in information retrieval models and metrics, including embeddings and ranking approaches
• Knowledge / experience in Approximate Nearest Neighbor algorithms
• At least one deep learning framework, such as Tensorflow or PyTorch
• Experience with cloud computing infrastructure

Interview Timeline:

• Application review: August-October
• Online assessment period: September-October
• Interview and final decision: October-December

The Advanced Technologies Group (ATG) is Pinterest’s advanced machine learning team. It keeps Pinterest at the forefront of machine learning technology across multiple application areas including recommendations, ranking, content understanding, and more. It is a high impact applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team publishes its work in applied research conferences, but the main contribution of the team's work is to drive top line metric impact across the company for our 400M+ monthly active users.

What you'll do:

• Lead projects that involve developing and deploying state of the art (and beyond) ML models in production systems across the company at scale for hundreds of millions of users.
• Help to define and drive forward looking ML strategy for the team and across the company.
• Collaborate with other engineering teams (infrastructure, user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of new technologies.
• Mentor junior engineers on the ATG and partner teams and help to uplevel ML talent across the company.

What we're looking for:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc.
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact.
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts.
• Strong execution skills in project management
• Masters or PhD in Comp Sci or related fields
• Understanding of an object-oriented programming language (Java, C++, Python)

Desired skills:

• Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
• Experience in closely collaborating with other engineering teams to ship new ML technologies to improve recommendation, content understanding, and ranking systems at scale.

This position is not eligible for relocation assistance.

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

The Advanced Technologies Group (ATG) is Pinterest’s advanced machine learning team. The goal of the team is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team does publish its work in applied research conferences, but the main goal of the team is to have top line metric impact.

The goal of Pinterest is to inspire pinners to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 400M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph as input, it needs to operate at a very large scale and often in a real time interactive user experience.

Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration starts with inclusion. The Inclusive AI team at Pinterest is a horizontal team that works across the company on both ML Fairness and user facing features which make our product more inclusive so we can better serve our diverse user base. This includes our launches of groundbreaking features such as user controllable skin tone and hair pattern filters and more recently body type.

We are looking for a Tech Lead Architect who can who can work with the team to drive cross-team engineering efforts in the Inclusive AI / ML Fairness space, work with senior leaders at the company to lead and set our technical strategy in this space, and also communicate and work with external groups regarding this work. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• Lead projects that involve developing and deploying state of the art ML models in production systems across the company
• Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness
• Mentor junior engineers on the Inclusive AI team and across the company on Inclusive AI / ML Fairness and help them to built that into their workflow
• Work with the team and senior leaders at the company to define and drive technical strategy in this area
• Communicate externally about this work and with external groups including industry, advocacy, and government bodies regarding this work

What we're looking for:

• Experience with state of the art ML Fairness techniques
• Familiarity with state of the art ML approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc.
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management
• Strong communication skills to communicate strategy to senior management and outside of the company, externally
• Masters or PhD in Comp Sci or related fields
• Understanding of an object-oriented programming language (Java, C++, Python)

Desired skills:

• Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work
• Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale

This position is not eligible for relocation assistance.

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Pinterest. In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them. You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics (recent publications 1, 2, 3). You will also have the opportunity to work on a variety of exciting projects in the following areas:

• representation learning
• recommender systems
• graph neural network
• natural language processing (NLP)
• inclusive AI
• reinforcement learning
• user modeling

You will also have the opportunity to mentor junior researchers and collaborate with external researchers on cutting-edge projects.

What you'll do:

• Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search

What we're looking for:

• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Pytorch, Tensorflow, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems
• 8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
• 3+ years experience leading cross-team engineering efforts that improves user experience in products
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Desired skills:

• Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges
• Cross-functional collaborator and strong communicator
• Comfortable solving ambiguous problems and adapting to a dynamic environment

This position is not eligible for relocation assistance.

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional staff machine learning engineer lead to drive and work on Search-related problems such as engagement and relevance modeling, query understanding, learned retrieval, and other NLP/Rec-Sys areas on Search.

What you will do:

• You will be responsible for leading the machine learning strategy and projects in Pinterest search, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and other techniques to drive query recommendations, autocompletions, and query based module generation and ranking.

• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as content signal, research and infrastructure.

• Bring cutting-edge research and industry knowledge into the team around NLP, information retrieval, machine learning, generative AI and related areas

• Mentor and grow junior engineers on the team.

What we are looking for:

• 8-10 years of experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.

• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing, generative AI is a bonus.

• Ability to drive roadmap and directions of scalable production quality systems end-to-end.

• A knack for product and impact on users of a consumer product.

This position is not eligible for relocation assistance.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Staff Machine Learning Engineer, Applied Science

Pinterest Labs is a group dedicated to using machine learning to bring inspiration to everyone. Tackling some of the most challenging problems in ML and AI, Labs solves the problem of discovery online and doing it in an inspiring and inclusive way.

In this role, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: computer vision, graph neural network, natural language processing (NLP), inclusive AI, reinforcement learning, user modeling, and recommender systems.

What you’ll do:

• Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
• Scope and independently solve moderately complex problems

What we’re looking for:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• 6+ years of industry experience
• Experience in machine learning/information retrieval/ recommendation systems
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Cross-functional collaborator and strong communicator
• Comfortable solving ambiguous problems and adapting to a dynamic environment

This position is not eligible for relocation assistance.

#LI-AG8

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

The Homefeed Relevance team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our Pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our Pinners and business metrics.

What you'll do:

• Improve relevance and the user experience on Homefeed
• Work on state-of-the-art large-scale applied machine learning projects
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost

What we're looking for:

• 5+ years experience with Recommender system or User modeling, implementing production ML systems at scale
• Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow.
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• Understanding of an object-oriented programming language (Java, C++, Python)
• 5+ years experience with large scale distributed backend systems

Desired skills:

• Experience in working in Deep learning and Generative AI models
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product

This position is/is not eligible for relocation assistance.

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

At Pinterest, we treat user privacy as our first priority in our product design and ads businesses. Within the monetization ML team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners, while respecting users’ privacy choices.

In this role, you will be guiding the technical directions, leading the development, and advancing the state of the art privacy-preserved ML solutions that power the ads engagement and delivery which bring together Pinners and partners in this unique marketplace. You will influence and collaborate with cross functional teams to drive privacy initiatives, ensure compliance with relevant regulations and enable effective advertising strategies.

What you'll do:

• Lead projects that involve developing and deploying state of the art (and beyond) privacy-preserved ML models in production ads delivery systems
• Collaborate and partner with cross functional teams across the company, to help define and drive forward-looking privacy-preserved ML strategy for the team and across the company
• Be hands-on and develop models and systems that lead to step-function improvements to our topline metrics
• Mentor and grow junior ML engineers in ads quality and partner teams and help to uplevel ML talent across the company

What we're looking for:

• Experience in privacy preserving machine learning techniques
• Deep practical knowledge of large scale recommender systems, or ads deliver funnels
• Experience in deep learning, transformers, deep cross network, etc. Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow
• Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Map-reduce)
• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Understanding of an object-oriented programming language (Java, C++, Python, etc)
• Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work is a plus

This position is not eligible for relocation assistance.

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Pinterest is one of the fastest growing online ad platforms, and Advertiser Solutions Group (ASG) is building advertiser products by applying the ML technologies to improve performance and drive value for the advertisers. ASG particularly focuses on product innovation and improvement, and connects all the advertiser products across the entire advertiser lifecycle.

What you’ll do:

• Lead ads product development that involve end-to-end engineering in both frontend and backend and ML
• Work closely with Product on planning roadmap, set technical direction and deliver value
• ASG builds models and systems to deliver an integrated, performant, and hassle-free product for the whole advertiser lifecycle.
• Examples of specific application areas and projects are:
• Auto campaign optimization
• Creatives optimization product
• Targeting and audience modeling
• Advertiser growth
• Guidance and Media Planning
• Measurement Modeling
• Ads Integrity, e.g., ads review
• Signal modeling

What we’re looking for:

• 10+ years of industry experience, with 5+ years tech leadership experience
• Rich experience in building Ads products by leveraging ML technologies
• Experience in both designing and implementing large scale ML application
• Strong execution skills in project management
• Masters or PhD in Comp Sci or related fields
• Understanding of an object-oriented programming language (Go, Java, C++, Python)
• Generative AI experience is a plus, not required

This position is not eligible for relocation assistance.

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Within the Ads Quality team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest
• Define and implement experiments to understand long term Marketplace effects
• Develop strategies to balance long and short term business objectives
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations

What we’re looking for:

• MS or PhD degree in Computer Science, Statistics or related field
• 8+ years of industry experience
• 2+ years of experience leading projects/teams
• Strong software engineering and mathematical skills with knowledge of statistical methods
• Hands-on experience with large-scale online e-commerce systems is a plus
• Background in computational advertising is preferred, but not required

This position is not eligible for relocation assistance.

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

The Ads Measurement Modeling team provides ML-based solutions for maintaining conversion visibility in today’s privacy sensitive environment. The team is at the forefront of ensuring the continued success of Pinterest’s performance advertising business and is focused on building novel, 0 to 1 solutions for the problems in the area.

What you’ll do:

• Lead Pinterest’s ML efforts to mitigate the impact of privacy-related changes on conversion visibility
• Stay up-to-date on the latest modeling techniques, be a multiplier on the team and contribute towards upleveling team members
• Push the state of the art in the recommendation systems area
• Work with the Ads ML infra team to improve model training / serving performance and stability

What we’re looking for:

• MS or PhD degree in Computer Science, Statistics or related field
• Experience in either conversion modeling for ads serving or modeled conversions for ads reporting
• 6+ years of experience working with large-scale ML systems
• 2+ years of experience leading 10+ member teams as tech lead
• Cross-functional collaborator and strong communicator

This position is not eligible for relocation assistance.

#LI-REX

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

As a Machine Learning Intern within Pinterest Labs, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges. We offer a 12-week summer internship program.

What you’ll do:

• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Scope and independently solve moderately complex problems
• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

What we are looking for:

• Working towards a Master's or PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc all ok)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Strong communicator and team player. Being able to find solutions for open-ended problems

This position is not eligible for relocation assistance.

#LI-EB1

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. We are building the world's first discovery engine, serving up millions of recommendations to an incredibly loyal user base. At the same time, our teams are building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. In this role, you can join a team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. As you kickstart your career at Pinterest, you’ll help us maneuver through crazy growth and insane scale while pinpointing tomorrow’s engineering challenges.

What you’ll do:

• Write clean, efficient, and sustainable code
• Break down complex problems and implement creative algorithms using state-of-the-art techniques
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Scope and independently solve moderately complex problems and takes ownership over project with minimal guidance

What we’re looking for:

• PhD in Computer Science, Mathematics, Statistics, or another related field
• Experience working on production machine learning systems at scale, data mining, ads ranking, recommendations, and/or natural language processing
• Understanding of an object-oriented programming language (Java, C++, Python)
• Experience in MapReduce, Hadoop, and/or distributed systems
• Strong communicator and team player
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Passion for applied ML and the Pinterest product
• Must graduate between December 2023 and September 2024

This position is not eligible for relocation assistance.

#LI-EB1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

As a research intern at Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. We offer a 12-week summer internship program.

What you’ll do:

• Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Scope and independently solve moderately complex problems
• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers

What we’re looking for:

• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player. Being able to find solutions for open-ended problems

Preferred Qualifications:

• Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
• Strong passion for research and for answering hard questions with research
• Passion for applied ML and the Pinterest product

This position is not eligible for relocation assistance.

#LI-EB1

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. We are building the world's first discovery engine, serving up millions of recommendations to an incredibly loyal user base. At the same time, our teams are building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. In this role, you can join a team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. As you kickstart your career at Pinterest, you’ll help us maneuver through crazy growth and insane scale while pinpointing tomorrow’s engineering challenges.

What you’ll do:

• Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
• Build content recommendation systems to power our push, email, and in-app notifications
• Work on state-of-the-art large-scale applied machine learning projects
• Scope and independently solve moderately complex problems

What we’re looking for:

• Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
• Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc all ok)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Strong communicator and team player. Being able to find solutions for open-ended problems
• Must graduate between December 2023 and September 2024

This position is not eligible for relocation assistance.

#LI-EB1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features. This will be achieved by leveraging, implementing, and scaling cutting edge algorithms and performing solid software engineering to make sure that what you build is performant and scales. You will have a strong product sense and intuition about data so that you can build impactful features for our customers. You will partner with cross functional teams composed of product managers, frontend/backend engineers, and other technical leaders to solve the technical challenges of our machine learning technology. You’ll be constantly learning and constantly teaching, expanding your skills across the stack and bringing in new technologies and methods to the team.

Roles and Responsibilities - How You Will Make an Impact

• Understand the landscape of NLP problems and identify strategic investments which ensure Primer’s ability to lead in the space
• Develop architecture, libraries and systems with company wide impact. Help teams on architectural practices to create integrated Primer products
• Collaborate and influence cross-functional teams to drive technical roadmap and build foundational blocks that help deliver on the broader company goals
• Lead and mentor engineers to help them grow
• Scale and optimize NLP models and pipelines for our products
• Improve and promote engineering best practices across the company and motivate other engineers to follow high standards

Relevant Skills and Experience

• MSc. or PhD. in computer science, statistics, computational linguistics, or related fields
• Strong programming skills, including in Python, with at least 5 years experience in a production engineering team
• At least 5 years building analytical/data driven products in an industry setting developing and deploying machine learning and NLP-based solutions
• Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras
• Deliver ML systems that can scale to millions of documents
• Collaborate with the research team to train and ship state of the art models
• Experience taking ambiguous problem statements through to delivered products
• Experience working with cloud (AWS or Azure) and container technologies
• Curiosity, enthusiasm, and a love for teaching and learning

This role will consider applicants out of San Francisco, CA or Washington, DC

The annual cash compensation range for this position is US$225,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.

[Quora is a "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. As a remote first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a huge impact on our product and our company.

We are looking for an experienced Machine Learning engineer to join our growing engineering team. At Quora, we use machine learning in almost every part of the product and natural language processing plays an important role. As a natural language processing expert, you will help us leverage our rich textual data and help uncover new opportunities to apply machine learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:

• Improve our existing machine learning systems using your core coding skills and ML knowledge

• Identify new opportunities to apply machine learning to different parts of the Quora product

• Work with other machine learning engineers to implement algorithms and systems in an efficient way

• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems

Minimum Requirements:

• Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)

• Demonstrated professional experience in software development and machine learning

• 3+ years of professional experience working on natural language processing, language modeling, etc

• Solid understanding of mathematical foundations of machine learning algorithms

• Previous experience building end to end machine learning systems

• BS, MS or PhD in Computer Science, Engineering or a related technical field

Preferred Requirements:

• Flexible and positive team player with outstanding interpersonal skills

• 3+ years of experience writing Python or C++ code

• Proven track record of delivering NLP models to solve industry-scale problem

• Experience with transformer models

• Experience with leading large-scale multi-engineer projects

• Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

• US candidates only: For Colorado based applicants, the minimum base salary range is $120,000 - $196,000 USD + equity + benefits. For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $120,000 - $218,000 USD + equity + benefits.

• British Columbia Candidates Only: For British Columbia based applicants, the minimum base salary range is $123,000 - $222,000 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

[Quora is a "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

About the Team and Role:

Our small Natural Language Processing team works on providing key NLP competence to improve Quora users’ experience. We build end-to-end industry-scale NLP systems for moderation (e.g. spam detection) and content-based recommendation (e.g. topic tagging and modeling content relevance). The team directly supports moderation and growth-related initiatives at Quora. As a remote-first company, our engineers have a high degree of flexibility and autonomy.

We are looking for an experienced Senior Machine Learning Engineer to join our growing NLP engineering team. You will have a unique opportunity to have high impact by advancing our NLP systems, as well as uncovering new opportunities to apply large language models to the Quora product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:

• Improve our existing machine learning systems using your core coding skills and ML knowledge

• Identify new opportunities to apply large language models to different parts of the Quora product

• Perform experiments and comparative analysis to evaluate the effectiveness of different model architectures and fine-tune hyperparameters for optimal performance

• Take end-to-end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems

• Continuously research and stay up-to-date with the latest developments in NLP and large language models, utilizing innovative techniques and methodologies to enhance our models

• Collaborate with the manager to lead the effort to transform our NLP systems to a new era of large language models

Minimum Requirements:

• Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)

• 6+ years of professional software development experience in machine learning, ideally in an NLP team and/or as tech lead

• BS, MS or PhD in Computer Science, Mathematics, or a related field with a focus on machine learning and NLP

• Previous experience building end-to-end machine learning systems

• Strong innovator who understands the nuances of large language models and hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures

• Proficient knowledge of NLP techniques, including tokenization, language modeling, and embeddings

• Experience with distributed training and optimization techniques for large-scale machine learning models

Preferred Requirements:

• Excellent communication skills and the ability to collaborate effectively in a cross-functional team.

• 2+ years of experience writing Python or C++ code

• Experience with leading large-scale multi-engineer projects

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

• US candidates only: For Colorado based applicants, the minimum base salary range is $120,000 - $196,000 USD + equity + benefits. For California, New Jersey, New York, and Washington based applicants, the minimum salary range is $120,000 - $218,000 USD + equity + benefits.

• British Columbia Candidates Only: For British Columbia based applicants, the minimum base salary range is $123,000 - $222,000 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

#LI-RJ1

#LI-REMOTE

SUMMARY

We’re looking for a Resident AI Engineer to join our Customer Success team. You will be the Rasa expert that our Enterprise customers will collaborate with as their trusted partner to accelerate their adoption of Rasa’s solutions with project deliverables throughout the term of the residency. You will be reporting to the Manager of Customer Success and Technical Support Engineering.

We are hiring for this position in the US, UK, Germany, or Serbia.

ABOUT THIS ROLE

Enterprise companies choose Rasa Professional Services to get access to product experts, accelerate time to market, and ensure project success. As a Resident AI Engineer, you'll make an impact on your team by:

• As part of Rasa’s customer support engineering team, work on site with our customers’ architects, developers, and operations staff to design, implement, and run Rasa deployments

• Serve as the customers’ go-to-resource for handling all Rasa-related projects and issues

• Provide proactive, consultative advice to help optimize the performance of our customers’ Rasa deployments

• Help champion an environment for ongoing strategic customer success

• Document customer feedback and share with Rasa’s product and engineering organization

• Participate in Rasa internal training and education sessions

Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!

ABOUT YOU

• Deep technical expertise in Rasa and conversational AI development as well as on-premise infrastructure management

• Leadership or managerial experience in major transformation efforts involving significant process, organizational and technology change

• Experience serving as part of a key customer leadership team, working with technical and business decision makers

• Ability to act as an industry encouraging leader in both customer meetings and public settings

• You will be working from the US, UK, Germany, or Serbia.

Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!

WHAT YOU CAN EXPECT FROM US

• Flexible hours and a dedicated remote budget

• A stipend for personal development fund & 6 paid education days to help you grow within your role

• 26 days of PTO

• A Macbook, and other tech to help you to do your job

• We have regular remote team events, as well as a company-wide offsite annually

• Heath benefits (USA only) // Vitality Health (UK only) // Private Health optional (Serbia Only)

Rasa is an equal-opportunity employer. We are still a small team and are committed to growing in an inclusive manner. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

As a Member of Technical Staff on Evaluation, you will:

• Design prompts and evaluation frameworks to analyze strengths and weaknesses of AI agents.

• Regularly run evaluations to investigate the capabilities of AI agents.

• Present your findings to the rest of the team to inform research and product developments.

• Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.

• Join us at an exciting moment, wear many hats and help us build something from the ground up!

You may be a good fit, if you have:

• Experience interacting with AI assistants and large language models.

• Creativity to imagine new AI use cases and applications.

• A high level understanding of how AI assistants work.

• The ability to operate in a fast-paced environment under some uncertainty.

• A kind and collaborative nature and work style.

Why Reka?

• Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology.

• Open and inclusive work environment.

• 4 weeks paid leave.

• Visa support (such as H1B and OPT transfer for US Employees).

• Healthcare benefits, including vision and dental.

As a Member of Technical Staff on Machine Learning, you will:

• Contribute to the entire development cycle of our cutting-edge large deep learning models.

• Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.

• Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.

• Join us at an exciting moment, wear many hats and help us build something from the ground up!

You may be a good fit, if you have:

• Experience with training and evaluating large deep learning models.

• Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).

• Proven track record of applying and implementing machine learning algorithms into software applications at scale.

• The ability to build in a fast-paced environment under some uncertainty.

• A kind and collaborative nature and work style.

Why Reka?

• Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology.

• Open and inclusive work environment.

• 4 weeks paid leave.

• Visa support (such as H1B and OPT transfer for US Employees).

• Healthcare benefits, including vision and dental.

As a Member of Technical Staff on Platform, you will:

• Contribute across the full stack, from REST APIs to infrastructure for the purpose of training and inference of our large deep learning models.

• Play a critical role in the design, development and maintenance of our products..

• Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.

• Join us at an exciting moment, wear many hats and help us build something from the ground up!

You may be a good fit, if you have:

• Strong engineering skills across the stack, including system design, frontend, and backend.

• The ability to build and ship in a fast-paced environment under some uncertainty.

• Proficiency in Python, Javascript.

• Familiarity with Machine Learning stacks (PyTorch, JAX, CUDA, etc) is a plus.

• Familiarity with frontend stack (React, Angular, CSS) is a plus

• A kind and collaborative nature and work style.

Why Reka?

• Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology.

• Open and inclusive work environment.

• 4 weeks paid leave.

• Visa support (such as H1B and OPT transfer for US Employees).

• Healthcare benefits, including vision and dental.

As a Member of Technical Staff on Product, you will:

• Become an end-to-end expert of our models and product deployment.

• Serve and implement our models to our customers on-premise and on the cloud.

• Work closely with our customers to understand the specifics around serving our ML models into their stack.

• Help us develop tailored demos to our key customers.

• Join us at an exciting moment, wear many hats and help us build something from the ground up!

You may be a good fit, if you have:

• Experience as a machine learning engineer, ideally working on AI products for external customers.

• Demonstrated understanding of large models, including thinking through deploying these models into software stacks.

• ML serving experience.

• Strong cross-functional communication and problem solving skills.

• The ability to build in a fast-paced environment under some uncertainty.

• A kind and collaborative nature and work style.

Why Reka?

• Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology.

• Open and inclusive work environment.

• 4 weeks paid leave.

• Visa support (such as H1B and OPT transfer for US Employees).

• Healthcare benefits, including vision and dental.

About the role

Your charter is to harness Artificial Intelligence to improve the daily lives of millions of coders using Replit. You will help build new and delightful product features, develop powerful new capabilities for our users, and optimize our robust computing platform.

Examples of what you could do:

• Train and fine-tune a Large Language Model (LLM) for code generation

• Develop sophisticated prompting strategies to make the best use of 3rd-party LLMs via API

• Create and curate large datasets, both from publicly-available sources and from Replit platform data

You will…

• Build novel AI models end-to-end, finding a good balance between state-of-the-art and pragmatism

• Work with a variety of large, unstructured data sources to train and test models

• Deploy LLM-based applications in production, evaluating and improving their performance over time

• Collaborate across multiple engineering teams to integrate AI solutions into our systems and processes

• Identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement them

You are…

• A very experienced Python developer

• Someone who has a minimum of 5 years of experience in AI (at large)

• Someone who values simplicity and pragmatism (i.e., you think radically but ship incrementally)

• Experienced in building data infrastructure that is both scalable and extensible

• Self-directed and comfortable working autonomously

• Passionate about using AI to make programming accessible to all

Bonus Points if you have:

• Experience with large-scale distributed compute and cloud infrastructure

• Experience working with and fine-tuning Large Language Models (LLMs)

• Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc.

• Experience as tech lead and/or manager -- the role is perfectly suited for an IC, but there is opportunity for quick growth towards a hybrid role (especially in case of past experience as a TL / manager).

Full-Time Employee Benefits Include:

🧑‍💻 Flexible Work Hours

💰 Competitive Salary & Equity

🖥 Home Office Set-Up Stipend

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

📱 Monthly Expenses Stipend

🚼 Parental and Baby Bonding Leave

🏝 Flexible PTO (2 Weeks Minimum Required) + Holidays

🚀 Annual company/team offsites (4/year)

Working at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

The overall market range of base compensation for roles in this area of Replit is typically $160,000 - $250,000. Compensation offered will be determined by additional factors such as location and experience.

What We're Looking For

What You'll Do

Who You Are

Who You'll Be Working With

Where You'll Work

When You'll Work

Level

What You'll Receive

Interview Process (~X hours)

Not sure if this is you?

Learn More About Us

Skills - you should be familiar with many of these concepts and technologies and have built projects with some of them:

• Machine Learning Research: PyTorch, ONNX, TensorRT, TFjs, YOLO, Transformers, COCO
• Backend + Cloud: node, Docker, python, Flask, pip, REST, AWS, GCP
We anticipate the role being focused 50% on machine learning research and 50% on implementing results of your research into the Roboflow application.You certainly don't need to be an expert in all of these areas; but should be excited to learn new skill sets as you need them. We also hope you'll bring some new knowledge and experiences you can share to help level-up the rest of the team. Your opinions on which research ideas we tackle and how we integrate them will be highly valued.

Example Projects

• Extending the capabilities of the Roboflow 100 auto-benchmark server
• Training a YOLOv8 Objects 365 checkpoint on YOLOv8 and evaluating how much it improves Roboflow 100 training results
• Writing a blog and example training notebook on DETA
• Assessing and implementing an auto-batching strategy for our training machines
• Surveying general open source OCR models and implementing one of them in the Roboflow inference server
• Assessing and implementing Neural Magic apis to deploy Roboflow models
• Training a general object detector across on Roboflow Universe datasets
• Evaluating capabilities of zero-shot object detection models for label assist

What We're Looking For

What You'll Do

Who You Are

Who You'll Be Working With

Where You'll Work

When You'll Work

Level

What You'll Receive

Interview Process (~5 hours)

Not sure if this is you?

Learn More About Us

Technology

About the role 🎉

We’re looking for a Senior Software Engineer for our Backend team to help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are determined problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including building backend services for interactive video processing and streaming, and deploying cutting-edge computer vision and generative models to production.

A peek at our technical stack 🔍

Our video streaming backend components are written in Python, use a lot of FFmpeg/libav and HLS for on-the-fly transcoding, PyTorch and TorchScript for ML inference, and are deployed as containerized services on Kubernetes. Our API endpoints for real-time collaboration and media asset management are written in Typescript and node.js and are deployed as serverless functions on AWS Lambda.

What you’ll do 🎨

• Work with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
• Work across the Backend stack to implement new product features for Runway’s machine learning based video creation and collaboration tools
• Create server-side components using the latest in machine learning and graphics
• Improve the performance, reliability, and code quality of our codebases

What you’ll need 💻

• 3+ years of industry experience in a software engineering role, ideally backend focused
• Demonstrated fluency of one or more programming languages, including but not limited to Python
• Experience in architecting production-ready systems and familiarity with debugging and profiling tools
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Humility and open mindedness; at Runway we love to learn from one another

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $160,000-190,000

About the role 🎉

We’re looking for a Senior Software Engineer for our Frontend team to help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are determined problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation and deploying cutting-edge computer vision and generative models to production.

A peek at our technical stack 🔍

The rich UI of our generative AI tools is powered by Typescript and React/Redux, while the real time compositing and graphics engine behind our interactive preview runs on WebGL2 and WebAssembly. Our API endpoints for real-time collaboration and media asset management are written in Typescript and node.js and are deployed as serverless functions on AWS Lambda.

What you’ll do 🎨

• Create rich multimedia interfaces using the latest, cutting-edge AI video generation models: Gen-1 and Gen-2
• Work with a world-class engineering team pushing the boundaries of creativity and content creation on the browser
• Take on new challenges across the Frontend stack to implement new product features for Runway’s machine learning based generative AI tools
• Improve the performance, reliability, and code quality of our codebases

What you’ll need 💻

• 4+ years of industry experience in a software engineering role, ideally frontend focused
• Demonstrated fluency of one or more programming languages, including but not limited to Javascript/Typescript
• Experience in architecting production-ready systems and familiarity with debugging and profiling tools
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Humility and open mindedness; at Runway we love to learn from one another

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $160,000-190,000

About the role 🎉

We’re looking for a Senior ML Infrastructure Engineer to help us optimize our AI models for media generation. The ideal candidate for this role has extensive experience improving the performance of model training and inference, strong low-level understanding of GPU workloads, and thrives in fast-paced, high-ownership environment.

What you’ll do 🎨

• Optimize our state-of-the-art AI models for video generation, such as Gen-1 and Gen-2
• Build tooling to improve the efficiency and reliability of distributed training runs on Runway’s HPC cluster

What you’ll need 💻

• 3+ years of experience in a role optimizing machine learning model inference and training on NVIDIA hardware
• Knowledge of Python, C/C++, CUDA, and extensive experience profiling GPU performance and distributed training runs
• Contributions to an ML framework (such as PyTorch), optimized runtimes for inference (such as TensorRT) or compilers (such as GCC)
• Strong communication, collaboration, and documentation skills

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $150,000-$200,000

About the role

We’re looking for an Engineering Manager to help manage a new team that is focused on productionizing new ML-based features to power Runway’s set of creative tools. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of machine learning and systems design.

What you’ll do

• Lead a talented ML team and keep pushing the boundaries of AI-based content creation
• Develop and deploy state-of-the-art machine learning systems to production
• Work weekly with leadership and the engineering team as a whole to review and set priority around goals
• Build a team of skilled engineers from diverse backgrounds

What you’ll need

• 2+ years of experience in a team lead or engineering manager role
• 4+ years of industry experience in an engineering and/or research role
• Strong background building impactful and novel machine learning projects
• Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
• Empathetic and inclusive leadership style
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Strong communication, collaboration, and documentation skills

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $220,000-$260,000

About the role 🎉

We’re looking for Staff Applied Research Scientists to help us develop cutting-edge computer vision and generative models to power our creative tools. We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills, and who are deeply interested in seeing their research materialize in novel user interfaces for creative tasks.

This is a cross-functional team that requires strong communication and collaboration skills; you will have a chance to work with our backend team to help bring your research models to production, and with our design and frontend engineering team to make sure that your machine learning models work in harmony with the user interfaces that interact with them.

What you’ll do 🎨

• Develop innovative research projects in computer vision, focusing on generative models for image and video.
• Build new computer vision pipelines for automating visual effects tasks (such as video segmentation, pinpointing, tracking).
• Work with a world-class engineering team pushing the boundaries of content creation on the browser.
• Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production.

What you’ll need 💻

• 5+ years of relevant engineering or research experience in computer vision and/or graphics
• Expertise with programming such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills and ability to write clean and maintainable research code
• Deep interest in building human-in-the-loop systems for creativity
• Passion for seeing research through from initial conception to eventual application
• Experience mentoring and teaching other researchers
• Strong communication, collaboration, and documentation skills

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $180,000-$230,000

About the role 🎉

We’re looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.

This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value.

What you’ll do 🎨

• Lead and grow a group of Runway’s applied machine learning research team
• Coordinate with the product team and the rest of the engineering team to define goals for your team that are aligned with overall company initiatives
• Write tooling and prototypes to unblock and increase the productivity of other researchers
• Work with a world-class engineering & research team pushing the boundaries of content creation on the browser

What you’ll need 💻

• 4+ years of industry experience as a research scientist in computer vision
• High emotional intelligence and experience mentoring other researchers
• Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
• Experience in translating product and business objectives into technical strategies
• Deep interest in productionizing state of the art ML research

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $190,000-$230,000

About the role

The Acceleration Program is an intensive, full-time, 3-month venture dedicated to fostering engineers, propelling them into accomplished machine learning engineer roles within our organization.

What you’ll do

• Tailored Mentorship: Participants are paired with seasoned researchers, with weekly check-ins to ensure steady progress.
• Evaluation & Transition: A stringent end-of-program review to assess competence, with successful candidates seamlessly transitioning to ML engineer roles within our team.
• Large Scale Access: Participants will have the opportunity of working with large scale GPU clusters for model training

What you’ll need

• Software Development Achievements: Creation of or significant contributions to widely-recognized software systems.
• Machine Learning Implementation: High-quality open-source implementations of machine learning research papers or autonomous research projects.
• Systems Programming Proficiency: Experience in high-performance distributed systems and systems programming
• Exceptional programming aptitude and a solid grasp of systems design.
• Demonstrable passion for AI, shown through continuous self-education via reading papers and hands-on experimentation.

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $180,000-$260,000

About the role 🎉

We’re looking for a Machine Learning Engineer who can help us build new multimodal AI systems for media generation. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in fast-paced, high-ownership environment.

What you’ll do 🎨

• Work with a world-class engineering team pushing the boundaries of content creation on the browser
• Collaborate with our research team to deploy state-of-the-art computer vision models to production
• Improve the performance and efficiency of our machine learning deployments

What you’ll need 💻

• Solid knowledge of at least one machine learning research framework (e.g. PyTorch, Tensorflow), and at least one high-performance inference framework (e.g. TensorRT, Apache TVM)
• Experience profiling and optimizing deep neural networks, including knowledge of GPU profiling tools such as NVIDIA Nsight
• Familiarity with Python-based image and video manipulation/encoding/decoding frameworks, such as OpenCV and PyAV
• Experience with cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
• Ability to write robust and maintainable client-server architectures and APIs
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Strong communication, collaboration, and documentation skills

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $165,000-$210,000

About the role 🎉

We’re looking for a Research Director to help us manage and grow Runway’s Applied ML Research team to create cutting-edge machine learning tools for AI-based content creation. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.

This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and develop research projects that deliver clear user value.

What you’ll do 🎨

• Work with a world-class engineering & research team pushing the boundaries of content creation on the browser
• Lead, hire, and grow Runway’s applied machine learning research team, supporting the research scientists & ML engineers on the team in their career growth and learning
• Coordinate with the product team and the rest of the engineering team to define high-level research goals aligned with overall company initiatives
• Write tooling and prototypes to unblock and increase the productivity of other researchers

What you’ll need 💻

• 4+ years of industry experience as a research scientist in computer vision
• High emotional intelligence and experience mentoring and supporting the career growth of other researchers
• Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
• Experience in translating product and business objectives into technical strategies
• Deep interest in productionizing state of the art ML research

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package 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: $210,000-$260,000