About the role

As an applied machine learning engineer, you will take today’s state-of-the-art solutions in various verticals and adapt them to run on the new Cerebras system architecture. You will get to see how deep learning is being applied to some of the world’s most difficult problems today and help ML researchers in these fields to innovate more rapidly and in ways that are not currently possible on other hardware systems.

Responsibilities

• Familiar with state-of-the-art transformer architectures for language and vision model.
• Bring up new state-of-the art model on Cerebras System and function validation.
• Train a model to convergence, and hyper-parameter tuning.
• Optimize model code to run efficiently on Cerebras System.
• Explore new model architecture that take advantage of Cerebras unique capabilities.
• Develop new approaches for solving real world AI problems on various domains.

Requirements

• • Masters or PhD in Computer Science or related field
  • Familiarity with JAX/TensorFlow/PyTorch
  • Good understanding of how to define custom layers and back-propagate through them.
  • Experience with transformer deep learning models
  • Experience in vertical such as computer vision or language modeling
  • Experience with Large Language Models such as GPT family, Llama, BLooM.

About the role

As an applied machine learning engineer, you will work on adapting state of the art deep learning (DL) models to run on our wafer scale system. This includes both functional validation and performance tuning of a variety of core models for applications like Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision (CV) and Graph Neural Networks (GNN).

As a member of the Cerebras engineering team you will be implementing models in popular DL frameworks like PyTorch and using insights into our hardware architecture to unlock to full potential of our chip. You will work on all aspects of the DL model pipeline including:

• Dataloader implementation and performance optimization
• Reference model implementation and functional validation
• Model convergence and hyper-parameters tuning
• Model customization to meet customer needs.
• Model architecture pathfinding.

This role will allow you to work closely with partner companies at the forefront of their fields across many industries. You will get to see how deep learning is being applied to some of the world’s most difficult problems today and help ML researchers in these fields to innovate more rapidly and in ways that are not currently possible on other hardware systems.

Responsibilities

• Analyze, implement, and optimize DL models for the WSE
• Functional and convergence of models on the WSE
• Work with engineering teams to optimize models for the Cerebras stack
• Support engineering teams in functional and performance scoping new models and layers
• Work with customers to optimize their models for the Cerebras stack.
• Develop new approaches for solving real world AI problems on various domains.

Requirements

• Bachelor's degree in engineering, science, or related field with 8+ years of experience
• Experience programming in modern language like Python or C++
• In-depth understanding of DL learning methods and model architectures
• Experience with DL frameworks like PyTorch, TensorFlow and JAX
• Familiar with state-of-the-art transformer architectures for language and vision model.
• Experience in model training and hyper-parameter tuning techniques.
• Familiar with different LLM downstream tasks and datasets.

Preferred Skills

• A deep passion for cutting edge artificial intelligence techniques
• Master's or PhD in engineering, science or related field
• Understanding of hardware architecture
• Experience programming accelerators like GPUs and FPGAs

About the role

As an applied machine learning engineer, you will take today’s state-of-the-art solutions in various verticals and adapt them to run on the new Cerebras system architecture. You will get to see how deep learning is being applied to some of the world’s most difficult problems today and help ML researchers in these fields to innovate more rapidly and in ways that are not currently possible on other hardware systems.

Responsibilities

• Familiar with state-of-the-art transformer architectures for language and vision model.
• Bring up new state-of-the art model on Cerebras System and function validation.
• Train a model to convergence, and hyper-parameter tuning.
• Optimize model code to run efficiently on Cerebras System.
• Explore new model architecture that take advantage of Cerebras unique capabilities.
• Develop new approaches for solving real world AI problems on various domains.

Requirements

• BS or Masters in Computer Science or related field
• Familiarity with JAX/TensorFlow/PyTorch
• Good understanding of how to define custom layers and back-propagate through them.
• Experience with transformer deep learning models
• Experience in vertical such as computer vision or language modeling
• Experience with Large Language Models such as GPT family, Llama, BLooM.

About the role

As an applied machine learning engineer, you will take today’s state-of-the-art solutions in various verticals and adapt them to run on the new Cerebras system architecture. You will get to see how deep learning is being applied to some of the world’s most difficult problems today and help ML researchers in these fields to innovate more rapidly and in ways that are not currently possible on other hardware systems.

Responsibilities

• Familiar with state-of-the-art transformer architectures for language and vision model.
• Bring up new state-of-the art model on Cerebras System and function validation.
• Train a model to convergence, and hyper-parameter tuning.
• Optimize model code to run efficiently on Cerebras System.
• Explore new model architecture that take advantage of Cerebras unique capabilities.
• Develop new approaches for solving real world AI problems on various domains.

Requirements

• BS or Masters in Computer Science or related field
• Familiarity with JAX/TensorFlow/PyTorch
• Good understanding of how to define custom layers and back-propagate through them.
• Experience with transformer deep learning models
• Experience in vertical such as computer vision or language modeling
• Experience with Large Language Models such as GPT family, Llama, BLooM.

We are seeking a skilled full stack ML engineer who will straight away be responsible for our entire model training and deployment pipeline. By the end of your first year, success would mean: having personally halved our model inference speed and deployment cost, grown our Engineering team from 2 to 10.

We can move from application to offer within 10 days. Find out more about Chai Research on www.chai-research.com/

Requirements:

• Ability to own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Experience building production software/ML systems at scale, bonus for building production apps at scale
• Comfortable building scalable applications and systems from the ground up, with limited development infrastructure available to you
• Knowing TDD is a big bonus

Here are the top 2 reasons why we are not for you:

• Currently, we only have a team of 5, everything gets super chaotic
• We keep our eyes on the prize, implementing fancy tech for the sake of it does not interest us, whereas iteration speed, user retention, and growth rate does

Here are the top 2 reasons why you should join us:

• Exceptional growth and autonomy, you will be working with a team of results-driven engineers and growing the team
• We are super outcome-focused, everything is geared towards delivering the best product and user experience possible, nothing else matters

Here is our tech stack:

• Front end: Python, Flutter, Dart, React
• Back end: Python, GCP, Redis, Kubernetes, Docker, Gitlab CI/CD

Process:

1. Apply here
2. First round video interview -> Second round panel interview -> Onsite day challenge
3. Reference checks, negotiation and offer

Who we are looking for:

We need a relentless engineer with 3+ years of experience overseeing and being responsible for optimizing our LLMs. Ensuring they are performant, scaleable, and cost-efficient. You will work alongside equally talented and driven teammates implementing cutting-edge AI inference engines. We need someone who is reliable and has high standards.

Here's why we might not be the right fit for you:

• We work hard and have a high velocity environment with lots of growth opportunities.
• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.
• You will be responsible and accountable for making high-impact decisions that determine Chai's future

Here are the top 2 reasons why you should join us:

• Exponential growth. 1 Million MAU. Be the 14th hire and get us to 100 million MAU.
• Craftsmanship. Build something beautiful.

Requirements:

• Bachelor's degree from a leading academic institution.
• 3+ years of experience in software engineering.
• Familiar with vLLM, quantization, and current techniques of LLM optimization.

Here is our tech stack:

• Front end: Python, Flutter, Dart
• Back end: Python, GCP, Redis, Kubernetes

Process:

Exceptionally fast, application to offer within 7 days.

1. Apply here
2. First round video interview, system design interview, then onsite
3. Reference checks, negotiation, and offer

About the role

We are looking for people with solid engineering and machine learning skills to drive the research required for pushing the boundaries of artificial intelligence.

Requirements:

• 5+ years' experience with deep learning frameworks like Pytorch, Tensorflow, Jax

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models

• Demonstrated track record of successfully owning research projects from start to finish

• Experience with generative models for various modalities

• Experience writing GPU kernels using CUDA or Triton.

Character is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. We value diversity and encourage applicants from a range of backgrounds to apply.

About the role

We are looking for people with solid engineering and machine learning skills to drive the research required for pushing the boundaries of artificial intelligence.

Requirements:

• 5+ years' experience with deep learning frameworks like Pytorch, Tensorflow, Jax

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models

• Demonstrated track record of successfully owning research projects from start to finish

• Experience with generative models for various modalities

• Experience writing GPU kernels using CUDA or Triton.

Character is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. We value diversity and encourage applicants from a range of backgrounds to apply.

About the role

We’re looking for scrappy and self-motivated people who have full-stack machine learning skills: collecting data, training state-of-the-art models, building evaluations, writing efficient inference algorithms, and iterating on user feedback.

In the day-to-day, you will be responsible for developing new AI capabilities end-to-end. This means you will need to wear a lot of hats across the full ML stack. You should be comfortable thinking about all parts of the problem, and ready to work on any and all components of it.

Responsibilities:

• Determining the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data

• Developing new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed

• Creating new evaluations that capture different aspects of generative outputs

• Writing fast inference algorithms to serve these models at scale

• Working with product teams to integrate feedback mechanisms into the product, which we use to improve the model

Requirements:

• Need at least 2+ years of industry experience working deep in the weeds on hard ML problems.

  • Negative example: just stringing together a bunch of pre-existing components together. Need signal that this person can think critically about different parts of the pipline

• Have a deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models.

  • Collected a new giant dataset

  • Published research papers

  • Played a critical role in shipping a new ML product that required custom components

  • Writing distributed ML infrastructure

  • Have debugged and fixed hard-to-find bugs in ML models

• Have a track record of successfully owning projects from start to finish.

• Have experience with generative models for various modalities.

• Experience working with proven tools: ML frameworks (Tensorflow, PyTorch, Jax, …), data processing frameworks (Spark, Beam, …).

Character is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. We value diversity and encourage applicants from a range of backgrounds to apply.

As a Member of Technical Staff, you will:

• Design, train and improve upon cutting-edge models
• Develop new techniques to train and serve models safer, better, and faster
• Train extremely large scale models on massive datasets
• Engage in research collaborations with our partner organizations and academic affiliations
• Publish your work in top-tier conferences and journals
• Work closely with product teams to develop solutions
• Assist our legal teams with preparation of patents on developed IP
• Join us at a pivotal moment, shape what we build and wear multiple hats!

You may be a good fit if you have:

• Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Experience using large-scale distributed training strategies
• Familiarity with autoregressive sequence models, such as Transformers
• Strong communication and problem-solving skills
• A demonstrated passion for applied NLP models and products
• Bonus: experience writing kernels for GPUs using CUDA
• Bonus: experience training on TPUs
• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

As a Member of Technical Staff on this team, you will:

• Design, train and improve upon cutting-edge search models
• Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
• Work closely with model serving team to ensure that inference is fast and stable.
• Collaborate with product teams to develop solutions.
• Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals
• Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!

You may be a good fit if you have:

• Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Experience training representation models, or using text embeddings in downstream tasks
• Familiarity with various information retrieval techniques, such as lexical search and dense vector search
• Familiarity with autoregressive sequence models, such as Transformers
• Strong communication and problem-solving skills
Bonus points for:
• Proficiency in other programming languages, such as C++ or Golang
• Experience using large-scale distributed training strategies with GPUs
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

What you should have

• Proficiency in Python, NumPy, and pandas libraries
• Data-oriented problem-solving skills: exploration, visualization, features extraction, and model tuning
• Understanding Machine Learning models: objective functions, regularization, gradient descent, optimization techniques, the curse of dimensionality, etc.
• ML feature engineering (e.g., tokenization, pre-processing and aggregation, pre-trained embeddings)
Optional
• Experience with recommender systems in the form of an internship, course, or personal project
• Experience with software development practices, including git proficiency, design patterns, and contributing to large code bases
• Experience as a Machine Learning Engineer in a professional setting
• Experience in customer-facing roles

At Deepgram, we spend every day tackling big, real-world challenges in speech. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights. And to raise the bar, everything we build needs scale in its DNA; we aren’t content with simple horizontal scaling: we intend to replace entire data centers dedicated to speech analytics with a single rack of servers. These challenges provide opportunities for creativity and innovative problem-solving every day. Deepgram’s Research Scientists tackle some of the most exciting and difficult problems on the forefront of ASR and NLU technologies.

You’ll have the freedom to innovate and uncover breakthroughs — and influence our product roadmap in turn. We look forward to you bringing your whole self to work, sharing learnings from your latest experiments, and collaborating with us to advance the state of speech technology.

The Role

Deepgram is currently looking for an experienced Research Scientist who has worked extensively with Large Language Models (LLMS) and has a deep understanding of transformer architecture. This individual should have extensive experience working on the hard technical aspects of LLMs, such as data curation, distributed large-scale training, optimization of transformer architecture, and Reinforcement Learning (RL) training.

What You’ll Do

• Brainstorming and collaborating with other members of the research team to define new LLM research initiatives

• Broad surveying of literature, evaluating, classifying, and distilling current methods

• Designing and carrying out experimental programs for LLMs

• Driving transformer (LLM) training jobs successfully on distributed compute infrastructure and deploying new models into production

• Documenting and presenting results and complex technical concepts clearly for a target audience

• Staying up to date with the latest advances in deep learning and LLMs, with a particular eye towards their implications and applications within our products

You’ll Love This Role If You

• Are passionate about AI and excited about working on state of the art LLM research

• Have an interest in producing and applying new science to help us develop and deploy large language models

• Enjoy building from the ground up and love to create new systems.

• Have strong communication skills and are able to translate complex concepts clearly

• Are highly analytical and enjoy delving into detailed analyses when necessary

It’s Important To Us That You Have

• 3+ years of experience in applied deep learning research, with a solid understanding toward the applications and implications of different neural network types, architectures, and loss mechanism

• Proven experience working with large language models (LLMs) - including experience with data curation, distributed large-scale training, optimization of transformer architecture, and RL Learning

• Strong experience coding in Python and working with Pytorch

• Experience with various transformer architectures (auto-regressive, sequence-to-sequence.etc)

• Experience with distributed computing and large-scale data processing

• Prior experience in conducting experimental programs and using results to optimize models

It Would Be Great if You Had

• Deep understanding of transformers, causal LMs, and their underlying architecture

• Understanding of distributed training and distributed inference schemes for LLMs

• Familiarity with RLHF labeling and training pipelines

• Up-to-date knowledge of recent LLM techniques and developments

• Published papers in Deep Learning Research, particularly related to LLMs and deep neural networks

Salary range of USD $150,000 to $250,000 base plus variable and equity regardless of location

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.

• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
• Char2Wav: End-to-end Speech Synthesis.
• ObamaNet: Photo-realistic lip-sync from text.
• MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
• Chunked Autoregressive GAN for Conditional Waveform Synthesis
• Wav2CLIP: Learning Robust Audio Representations From CLIP

Responsibilities

• Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
• Creating realistic voice doubles using only a few minutes of audio.
• Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
• Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
• Coming up with new research directions to improve our product

Requirements

• Proven experience in designing and implementing deep learning algorithms.
• PhD or Master’s degree specialized in Deep Learning or equivalent experience.
• Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
• Good programming skills and experience with deep learning frameworks.
• Ability to generate more ideas than you can implement.
• Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
• You wish you had more GPUs to run all the experiments that you wanted!
• You know Pytorch/Tensorflow inside-out
• We do not require domain-specific knowledge in computer vision or speech-processing

• Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
• Played a key role in shipping a feature in production which uses deep learning as a key component.

Responsibilities:

• Hit the ground running and take ownership of strategic accounts with iconic customers.

• Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner. This includes model vetting, pilot development, and production implementation.

• Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.

• Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.

• Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results

• Stay up-to-date with AI and ML trends, and leverage your practical experience with Large Language Models (especially OpenAI's) to responsibly evaluate their trade-offs and bring innovative solutions to our customers.

• Continuously improve solution design and implementation processes, incorporating feedback and lessons learned from previous projects.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or related fields.

• At least 3 years of experience as a software engineer or machine learning engineer.

• Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products.

• An obsession with thorough AI/ML evaluation to create reliable applications.

• Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas).

• Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD).

• Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP).

• Strong communication and collaboration skills.

What we offer

• Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity.

• Opportunity to own $Xm+ accounts with some of the most iconic institutions, and drive transformative outcomes.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Competitive salary and benefits package, including equity options.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

• Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.

If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Engineer and help us shape the future of AI-driven solutions for enterprises across the globe.

Distyl AI Fellows Program is an unique opportunity for graduate students and researchers to work at the vanguard of AI technology. In collaboration with Fortune 500 customers, alliance members like OpenAI, and our team at Distyl AI, fellows will have the chance to make a real impact in the AI industry.

We currently offer the Distyl AI Fellowship along three distinct tracks:

• Data Systems track: Carry out novel research in developing Information Retrieval (IR) systems with our crack team of IR experts. You will carry out this research in conjunction with academia (e.g. University of Waterloo) and industry (e.g. F500 customers). This is an opportunity deploy your work directly to many of our customers, as well as publish in premier conferences (e.g. SIGMOD).

• Reliability track: Conduct research to enhance the reliability, safety, and performance of AI models, with a focus on model vetting, evaluation, and robustness. At the end of your fellowship, you will have the platform to share your findings with the community through various channels, including publications and posters. Additionally, you will see your work implemented at some of the most critical institutions of our society.

• UX track: Conduct research and experimentation in AI user experience (UX) design, with the goal of making AI systems more understandable, accessible, and user-friendly. At the conclusion of your fellowship, you will have the opportunity to present your experiments to the world, and see your work operationalized at some of the most iconic institutions.

Throughout your fellowship, you will gain exposure to current technologies, acquire experience working on real-world projects in the AI industry, and collaborate with some of the best experts in the AI space.

What We Offer

• Make an Impact: Contribute to cutting-edge AI projects and shape the future of the industry. Your work will be instrumental in real world applications at some of the most critical institutions.

• Expert Guidance: Receive mentorship from leading AI professionals and researchers who will share valuable insights and support your growth.

• Lasting Connections: Build a dynamic network with talented Fellows, AI experts, customers, and investors, fostering meaningful collaborations.

• Skill Development: Access exclusive workshops and events designed to deepen your expertise in AI, UX design, and research methodologies.

• Inclusive Culture: Join a supportive environment that encourages creativity, innovation, and the pursuit of challenges.

• Competitive Benefits: Enjoy a competitive stipend and access to state-of-the-art resources, empowering you to excel.

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.

You will love this job if:

• You love solving really challenging problems
• You seek opportunities to see your research deployed in practice to solve real world problems
• You enjoy working at the very cutting edge of R&D
• You want to experience an early stage startup

What you’ll be responsible for:

• Researching and proposing solutions to the different science problems in an evolving environment
• Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
• Working with the engineering team who will be responsible for integrating and deploying your work in production
• Conducting regular internal science reviews

What we look for in a candidate:

• Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
• Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
• Programming skills and familiarity of modern ML frameworks
• Strong problem-solving and time management skills
• Strong communication skills and capacity to report and disseminate results
• Passion for scientific and technical excellence

Perks:

• Competitive pay
• Healthy snacks stipend
• Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
• Vibrant and inclusive company culture with frequent team-building events

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

We're looking for an ML Engineer to join our team and help make these breakthroughs happen. Docugami values engineers from diverse backgrounds who are strong in Python, C# and/or Java, enjoy developing SaaS applications, and have a desire to work with world-class engineers and AI researchers.

You will love this job if:

• You love solving hard problems
• You want to see your models actively solving customer needs
• You a "starter" who enjoys defining the direction and best practices of a product from the beginning
• You seek opportunities to learn new things
• You want to experience an early stage startup

What you’ll be responsible for:

• Building and deploying ML models that help solve key customer needs
• Working with our Research team to push both product and research forward
• Constantly improving our product with a balance of ML and engineering
• Ensuring end to end customer success with your work, including working with sales and support

What we look for in a candidate:

• 3+ years of ML industry experience and/or ML research
• Computer Science or Computer Engineering background
• Experience working with frameworks such as Pytorch and Spark, and a desire to work in both the CV and NLP spaces
• Strong problem-solving and time management skills
• Passion for technical excellence

Perks:

• Competitive salary with stock options
• Healthcare plan
• Competitive vacation and leave policy
• Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
• Vibrant and inclusive company culture with frequent team-building events
• Remote workforce that works PST hours

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

Duolingo AI Research is a small and nimble team, using data to develop new hypotheses about language and learning, test them empirically, and ship products based on research. As an AI Research Intern (PhD) you are a colleague, and your code and ideas will affect tens of millions of people worldwide. You will learn deeply and broadly from our team of award-winning engineers and researchers.

You Will...

• Apply AI methods to massive real-world datasets
• Prototype new models, evaluate with small scale experiments, and/or productionize solutions at scale
• Work with a cross-functional team of world class researchers, engineers, and others to build new product features and/or publish state-of-the-art findings

You Have...

• Contributions to research communities and efforts, including publishing papers at conferences such as ACL, CVPR, EDM, ICML, NeurIPS, etc.
• Experience implementing AI systems in Python, Java, Scala, or C/C++ (i.e., not just R or MATLAB)

Requirements:

• Pursuing a PhD in artificial intelligence, machine learning, natural language processing, or related field
• Graduation expected by August 2025
• 12 week consecutive availability
• Ability to relocate to Pittsburgh, PA

Why you’ll love working here…

• Language learning opportunities
• Catered in-house lunches and breakfast
• Company-wide Hackathon
• PTO and company holidays
• Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!

We invest in and support our Duos! The hourly range for this internship is $60-$62.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

The AI Research Engineer role at Duolingo is quite broad, with responsibilities ranging from engaging with the research community via publishing papers and attending conferences, to bringing the latest advances in AI to our product by collaborating with our research scientists and software engineers. Research engineers work on unique problems at the forefront of educational technology, including modeling learner proficiency, offering insightful feedback to our learners, extending our content and tooling to other languages, securing the Duolingo English Test against malicious behavior, and more.

Research engineers are expected to both innovate and implement. As such, we look for applicants with both an accomplished research portfolio as well as a strong software engineering background. AI research engineers often own projects from end-to-end, beginning with ideation, data collection, R&D, and culminating in putting your work in front of our learners.

You Will...

• Solve our most ambitious problems with the right tool for the task
• Collaborate cross-functionally to bring your ideas to life in the product
• Identify problems, prototype solutions, evaluate their return on investment, and then implement the best solution at scale to improve the lives of our millions of learners each day
• Share your findings both within Duolingo as well as to the broader research community

You Have...

• A creative, interdisciplinary, and entrepreneurial approach to R&D
• Strong debugging and critical thinking skills

Requirements:

• M.S./Ph.D. in machine learning, AI, computer science, or a related technical field
• 2 years of industry experience
• Outstanding interpersonal communication and organizational skills
• Experience implementing AI systems at scale
• Ability to relocate to New York, NY or Pittsburgh, PA

Exceptional Candidates Will Have...

• 5 years of post-doctoral and/or industry experience
• Experience mentoring or managing junior scientists or engineers
• A strong publication record

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $166,500 - $273,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

The AI Research Engineer role at Duolingo is quite broad, with responsibilities ranging from engaging with the research community via publishing papers and attending conferences, to bringing the latest advances in AI to our product by collaborating with our research scientists and software engineers. Research engineers work on unique problems at the forefront of educational technology, including modeling learner proficiency, offering insightful feedback to our learners, extending our content and tooling to other languages, securing the Duolingo English Test against malicious behavior, and more.

Research engineers are expected to both innovate and implement. As such, we look for applicants with both an accomplished research portfolio as well as a strong software engineering background. AI research engineers often own projects from end-to-end, beginning with ideation, data collection, R&D, and culminating in putting your work in front of our learners.

You Will...

• Solve our most ambitious problems with the right tool for the task
• Collaborate cross-functionally to bring your ideas to life in the product
• Identify problems, prototype solutions, evaluate their return on investment, and then implement the best solution at scale to improve the lives of our millions of learners each day
• Share your findings both within Duolingo as well as to the broader research community

You Have...

• A creative, interdisciplinary, and entrepreneurial approach to R&D
• Strong debugging and critical thinking skills

Requirements:

• M.S./Ph.D. in machine learning, AI, computer science, or a related technical field
• 2 years of industry experience
• Outstanding interpersonal communication and organizational skills
• Experience implementing AI systems at scale
• Ability to relocate to New York, NY or Pittsburgh, PA

Exceptional Candidates Will Have...

• 5 years of post-doctoral and/or industry experience
• Experience mentoring or managing junior scientists or engineers
• A strong publication record

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $166,500 - $273,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

As an AI Research Scientist, you will apply your background in AI and machine learning to invent the technologies that will define the future of education in areas such as personalization, natural language processing, speech, and so on. In many cases, this means identifying entirely new research problems, or synthesizing work that spans several fields. You will find opportunities to improve existing systems – or reinvent them completely – to tackle Duolingo's unique data. We are a fun and motivated team, building intelligent software used by millions of people around the world every day.

You Will...

• Conduct cutting-edge AI research that pushes forward the field of education
• Work with a multi-functional team of award-winning designers, researchers, engineers, and others to build new research-based product features
• Assist in mentoring junior scientists and engineers
• Contribute to the broader research community by publishing and presenting about your work

A few past projects from the group:

• The world's largest student model "Birdbrain" (IEEE Spectrum paper)
• A method to jump-start adaptive language testing (EMNLP paper)
• Novel bandit algorithm for mobile notifications (KDD paper)
• The Duolingo English Test (TACL paper)

You Have...

• PhD in machine learning, AI, computer science, or a related technical field
• 2 years of industry experience except for exceptional senior faculty candidates
• Experience implementing ML systems in Python, Java, Scala, or C/C++ (i.e., not just R or MATLAB)
• Outstanding interpersonal communication and organizational skills
• Contributions to research communities and efforts, including publishing papers at conferences such as ACL, CVPR, EDM, ICML, NeurIPS, etc.

Exceptional Candidates Will Have...

• Familiarity with educational and/or assessment technologies
• Experience mentoring or managing junior scientists or engineers
• Strong publication record

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $197,500 - $374,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

As an AI Research Scientist, you will apply your background in AI and machine learning to invent the technologies that will define the future of education in areas such as personalization, natural language processing, speech, and so on. In many cases, this means identifying entirely new research problems, or synthesizing work that spans several fields. You will find opportunities to improve existing systems – or reinvent them completely – to tackle Duolingo's unique data. We are a fun and motivated team, building intelligent software used by millions of people around the world every day.

You Will...

• Conduct cutting-edge AI research that pushes forward the field of education
• Work with a multi-functional team of award-winning designers, researchers, engineers, and others to build new research-based product features
• Assist in mentoring junior scientists and engineers
• Contribute to the broader research community by publishing and presenting about your work

A few past projects from the group:

• The world's largest student model "Birdbrain" (IEEE Spectrum paper)
• A method to jump-start adaptive language testing (EMNLP paper)
• Novel bandit algorithm for mobile notifications (KDD paper)
• The Duolingo English Test (TACL paper)

You Have...

• PhD in machine learning, AI, computer science, or a related technical field
• 2 years of industry experience except for exceptional senior faculty candidates
• Experience implementing ML systems in Python, Java, Scala, or C/C++ (i.e., not just R or MATLAB)
• Outstanding interpersonal communication and organizational skills
• Contributions to research communities and efforts, including publishing papers at conferences such as ACL, CVPR, EDM, ICML, NeurIPS, etc.

Exceptional Candidates Will Have...

• Familiarity with educational and/or assessment technologies
• Experience mentoring or managing junior scientists or engineers
• Strong publication record

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $197,500 - $374,000. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

We are looking for a mixed-method research leader to run the UX Research function — bringing vision, empathy, and product experience to our growing function, to help ensure Duolingo builds thoughtful products that learners around the world need and love.

This role reports to the VP of Design as a member of the Design team, the instrumental creative partner in most projects at Duolingo—from our mobile apps and website to the brand voice and email newsletters, and even community events. At Duolingo, we take pride in and agonize over crafting a user-friendly (and fun) experience for everyone.

You will...

• Grow and lead a talented, diverse, inclusive team of UX Researchers and leaders who consistently deliver high-quality products
• Mentor and develop the skills, talents, and careers of the UX Researchers and UX Research Managers on your team, coaching them to success and impact
• Collaborate closely with leaders in other functions (Product and Engineering) to ensure that product areas are both planning well and hitting their metrics
• Set the vision for how UX Research continues to be a trusted and strategic partner for important company, product, and design decisions
• Be a tireless advocate for research influence and research priorities
• Build a thriving culture where UX Researchers do high-quality work and uphold our outstanding product experience
• Design and scale the organization, partnering closely with Leadership and Recruiting on headcount budgeting and forecasting

You have...

• 5+ years of experience as a people manager at a similarly fast paced or later-stage tech company with experience managing managers
• Experience sourcing, interviewing, hiring, and onboarding for your team, as well as spotting promising research talent
• Consistent track record of effectively managing people, including developing talent on your teams and recruiting a diverse team that reflects our learners
• Excellent written and verbal communication skills that lead to effective and concrete output
• Experience defining and influencing product strategy
• An understanding and appreciation for the accurate application of data and metrics in UX Research
• Attention to detail and a focus on excellence

Exceptional candidates will have...

• A strong appreciation for and experience working closely with Product Design, Design Operations, and Product Management
• Worked at a company with very high design standards
• Experience managing both quantitative and qualitative UX Researchers

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $183,600 - open. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

We are looking for a mixed-method research leader to run the UX Research function — bringing vision, empathy, and product experience to our growing function, to help ensure Duolingo builds thoughtful products that learners around the world need and love.

This role reports to the VP of Design as a member of the Design team, the instrumental creative partner in most projects at Duolingo—from our mobile apps and website to the brand voice and email newsletters, and even community events. At Duolingo, we take pride in and agonize over crafting a user-friendly (and fun) experience for everyone.

You will...

• Grow and lead a talented, diverse, inclusive team of UX Researchers and leaders who consistently deliver high-quality products
• Mentor and develop the skills, talents, and careers of the UX Researchers and UX Research Managers on your team, coaching them to success and impact
• Collaborate closely with leaders in other functions (Product and Engineering) to ensure that product areas are both planning well and hitting their metrics
• Set the vision for how UX Research continues to be a trusted and strategic partner for important company, product, and design decisions
• Be a tireless advocate for research influence and research priorities
• Build a thriving culture where UX Researchers do high-quality work and uphold our outstanding product experience
• Design and scale the organization, partnering closely with Leadership and Recruiting on headcount budgeting and forecasting

You have...

• 5+ years of experience as a people manager at a similarly fast paced or later-stage tech company with experience managing managers
• Experience sourcing, interviewing, hiring, and onboarding for your team, as well as spotting promising research talent
• Consistent track record of effectively managing people, including developing talent on your teams and recruiting a diverse team that reflects our learners
• Excellent written and verbal communication skills that lead to effective and concrete output
• Experience defining and influencing product strategy
• An understanding and appreciation for the accurate application of data and metrics in UX Research
• Attention to detail and a focus on excellence

Exceptional candidates will have...

• A strong appreciation for and experience working closely with Product Design, Design Operations, and Product Management
• Worked at a company with very high design standards
• Experience managing both quantitative and qualitative UX Researchers

We invest in and support our Duos! This role is eligible for a robust compensation package of base salary, equity, and Duolingo’s world-class benefits. The starting base salary range for this role is, $183,600 - open. Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Take a peek at how we care for our employees' holistic well-being with our benefits here.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.

About the role

We are looking for an ML Researcher to join the research team at ElevenLabs. You will thrive in the role if you enjoy doing the following:

• Creating and upholding a reliable and expandable data management system specialized for text-to-speech projects. This includes establishing guidelines for versioning and ensuring data quality.

• Establishing a streamlined process for autonomously training, assessing, and launching text-to-speech models. This encompasses implementing procedures for dynamic learning, as well as routines for fine-tuning and refreshing validation data.

• Investigating cutting-edge approaches and strategies in machine learning, deep learning, and algorithms pertaining to text-to-speech technology.

Who you are

We are a young company of highly motivated individuals who work together while being spread across the globe. Each one of us is driven by the pursuit of excellence, supporting one another while taking ownership of our outcomes, and exploring uncharted territories. To thrive in this environment, you embody these attitudes: You are passionate about text-to-speech AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. You are a highly motivated and driven individual with a strong work ethic. Our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of work, consistently taking ownership of your outcomes and overdelivering on goals. Have a humble attitude and are eager to learn whatever it might take to help your team and our customers succeed.

What you bring

We do not require any formal certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. We do require:

• 3+ years industry experience as a Machine Learning Engineer, with a key emphasis on constructing data pipelines, as well as developing and implementing machine learning models.

• Demonstrating the capacity to autonomously evaluate novel concepts or enhance current machine learning projects, with the potential outcome of contributing to published works.

• Extensive background in conducting exploratory research to enhance the excellence of gathered data, particularly within the realm of audio and text-to-speech domains.

What we offer

• Competitive salary.

• Stock options; we want you to have ownership in the company and share the successes that lie ahead. That’s why we offer early employees stock options as part of their compensation package

• Remote-first; we look at who you are rather than where you live. That’s why we are growing across the globe and support your preferred location.

• Flexible working hours; we are a remote-first company and believe in a flexibility.

• Bi-annual company off-sites; the last two were in Portugal and Spain.

• Opportunity to work with a super smart and ambitious group of people.

The Adventure: We're the leading AI Guidance Platform company in the insurance industry, working with some of the largest insurance companies in the US and expanding globally. We're growing rapidly, having started three years ago, and have grown almost 3x in company size this year alone! We excel at converting pilots to production deployments and have a unicorn path ahead. Our technology has helped tens of thousands of people. We’ve created a fun, passionate, humorous, friendly, and fiercely driven engineering culture that values delivery and personal impact above everything else.

About You: you are an NLP Large Language Model (LLM) Senior Engineer with proficiency in fine-tuning, training models, and handling vast datasets. You love working on new and challenging problems and are supercharged by having interesting, unsolved problems continually present themselves. The successful candidate will drive our initiatives in leveraging advanced NLP techniques, ensuring our applications reach their peak performance and accuracy.

Key Responsibilities:

Model Development and Fine-tuning:

• Work closely with the data science team to fine-tune and optimize existing LLMs for specific tasks.
• Develop custom training procedures to address unique challenges and requirements.

Data Management:

• Acquire, preprocess, and manage vast datasets.
• Ensure data quality, relevance, and integrity for model training and validation.

Research and Implementation:

• Keep abreast of the latest advancements in NLP and LLM technology.
• Prototype and test new methodologies and integrate them into our systems, as necessary.

Performance Evaluation:

• Establish robust evaluation metrics for model assessment.
• Regularly test and monitor model performance to ensure it meets or exceeds benchmarks.

Collaboration:

• Work closely with product managers, engineers, and other stakeholders to integrate LLMs into end-user applications.
• Provide technical guidance on NLP matters to junior team members and colleagues.

Documentation:

• Create comprehensive documentation on model architectures, training procedures, and performance metrics.
• Offer recommendations for improvements and optimizations based on data analysis.

Requirements:

• 3+ years of related experience preferably at a B2B SaaS product company, especially in highly scalable production environments.
• Significant NLP Large Language Model experience, ideally as a Tech Lead.
• Team player who is solutions-oriented and works collaboratively with others.
• You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.

Work-life, Culture & Perks:

• Compensation: competitive salary range, as well as equity plan offered (stock options).
• Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%.
• Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn.
• Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup.
• Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
• Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Check out our Before You Apply video interviews with our ML team.

The Adventure: We're the leading AI Guidance Platform company in the insurance industry, working with some of the largest insurance companies in the US and expanding globally. We're growing rapidly, having started three years ago, and have grown almost 3x in company size this year alone! We excel at converting pilots to production deployments and have a unicorn path ahead. Our technology has helped tens of thousands of people. We’ve created a fun, passionate, humorous, friendly, and fiercely driven engineering culture that values delivery and personal impact above everything else.

About You: An ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves.

In this Role, You Will:

• Build ML models for production use
• Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
• Suggest and implement new features to improve model performance and business logic
• Write and review production-quality PRs daily
• Translate client business problems into ML problems
• Build scalable machine learning models for claim time series forecasting and NLP text understanding
• Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

Requirements:

• You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.
• You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.
• You’re a team player who is solutions-oriented.
• You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.

Even Better if You Have the following:

• Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
• Owned and deployed, and maintained model-serving pipelines in production
• Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
• Experience with advanced statistical modeling, especially probabilistic programming
• Ambitious, collaborative, and empathetic values
• A work style that is open to giving and receiving critical feedback and collaborating effectively across teams

Work-life, Culture & Perks:

• Compensation: the compensation range for this role is 190-210K (with flexibility), as well as equity plan offered (stock options).
• Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%.
• Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn.
• We also have a flexible vacation policy and are closed for winter break at the end of the year.
• Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup.
• Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
• Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering including programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

• Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning to help our customers solve high-impact problems.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering which ideally would include programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

Please note that due to the nature of our current project requirements, applicants must either hold valid existing security clearance or be eligible for UK security clearance (5 years continuous UK address history, no criminal convictions.) Faculty will cover any costs associated in full.

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning to help our customers solve high-impact problems.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering which ideally would include programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

Please note that due to the nature of our current project requirements, applicants must either hold valid existing security clearance or be eligible for UK security clearance (5 years continuous UK address history, no criminal convictions.) Faculty will cover any costs associated in full.

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

Please note, for these positions we require candidates who are Security Cleared with the ability to obtain DV clearance

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government space - examples of which can be found here.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methods and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering including programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

• Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning within our Life Sciences Business Unit. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering including programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

• Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

Please note, for these positions we require candidates who are Security Cleared with the ability to obtain DV clearance

What You'll Be Doing

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Government space - examples of which can be found here.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methods and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery.

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;

• Creating reusable, scalable tools to enable better delivery of ML systems

• Working with our customers to help understand their needs

• Working with data scientists and engineers to develop best practices and new technologies; and

• Implementing and developing Faculty’s view on what it means to operationalise ML software.

We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.

• Working with senior engineers to scope projects and design systems

• Providing technical expertise to our customers

• Technical Delivery

Who We're Looking For

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

• Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.

• Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.

• Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.

To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch

• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques

• Experience in Software Engineering including programming in Python.

• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform

• Demonstrable experience with containers and specifically Docker and Kubernetes

• Comfortable in a high-growth startup environment.

• Outstanding verbal and written communication.

• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

• Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours

Culture & Benefits at Faculty

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.

Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.

Some of our benefits:

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.

• Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!

• Equity: We want you to benefit from Faculty’s growth and success.

• Fantastic private health, optical and dental insurance for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.

• Access to mental health coaching with Sanctus

• Free breakfast, weekly lunches and more fruit, drinks and snacks than you could ever eat when you're in the office.

• We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime.

Applied ML Engineer Role

As an Applied Machine Learning Engineer, you will play a key role in building the prediction engine that powers Anomaly's products to make healthcare payments more efficient. This includes executing cutting-edge ML techniques; training and testing models on hundreds of millions of data-points; and helping build-out a state-of-the-art human-in-the-loop ML infrastructure.

In this role, you will closely collaborate with other data scientists, members of the platform engineering term, and payments domain experts as we build products to streamline healthcare payments and reduce cost and complexity.

You will report directly to the Head of Data Science. The role is open to fully remote candidates who are US-based, with an expectation of occasional travel to our NYC headquarters.

What you'll do:

• Write production-level machine learning models
  • Executing cutting-edge ML techniques to predict insurance payment amounts, denials, and overpayments with high precision, recall, and explainability.
    Making infrastructural choices in order to ensure that the trained models scale well across hundreds of millions of health insurance claims.

• Collaborate with the team to build internal tools to support our company mission
  • Working with domain experts in the health insurance field to incorporate their knowledge into trained models.
  • Building interactive internal tools to obtain expert feedback for the purposes of model validation.

• Have strong impact on innovative engineering projects
  • Running unsupervised anomaly detection on millions of heterogeneous health-insurance features using PySpark.
  • Shining a bright light on black-box models to make all anomalous signals easily interpretable.
  • Interacting with domain experts and encoding their experience into simple heuristics. Pushing these heuristics to production for the purposes of weak supervision.
  • Training large-scale, weakly-supervised ML models using tools like Snorkel. Making sure these models are interpretable.
  • Tweaking models using expert feedback. Building dashboards to solicit that feedback using human-in-the-loop training techniques.
  • Experimenting with transformer model applications using the Pytorch / Tensorflow libraries.

What you'll need:

• Background
• Standard knowledge of Python data-science stack
• 5+ years in software engineering experience
• Hacker mindset
• Experience building out production-ready machine learning solutions

• Nice To Have
  • Exposure to PySpark, PyTorch, Snorkel
  • Experience working in a fast-paced, innovative environment

Apply here, or reach out to careers@findanomaly.com with questions.

Life at Anomaly

Headquartered in NYC with a strong remote team, Anomaly brings together a diverse group deeply committed to our mission to bring streamline healthcare. Data scientists, engineers, clinicians, and more work together to realize a future where healthcare payments flow with precision. We live by our values, which help us accomplish more and create a workplace we love.

Anomaly's Values

• Move with urgency: Our customers needed our product yesterday. We move fast—but not too fast—to bring our solution to market
• Be willing to sit on the floor: No one is too senior to jump in and get the job done
• Think 10x: We celebrate incremental improvements, but we always look for the step-function win
• Seek feedback at 30%: We ask for feedback uncomfortably early, and offer it proactively (and respectfully) to others
• Default to open: We internally share everything we can, creating a culture of trust and empowerment
• Be kind: We take our work seriously, but we’re never too busy to be kind

We are looking for AI Engineers to join our team. You will be responsible for a wide range of tasks:

• Design and evaluate algorithms for managing the LLM prompt context at every step of execution.
• Design and evaluate retrieval systems for document question answering (RAG) or conversational history selection.
• Interfacing Large Language Models to external systems, APIs, and tools.
• Training and fine-tuning models performing a wide range of tasks in the domains of language, vision, generative art, video, and more.
• Developing methods to improve efficiency, correctness, and quality of LLMs.
• Building tools to measure model quality and performance.
• Experience with existing large language models and generative models is a must. Experience developing and training models in PyTorch is ideal.

We're based in Seattle.

You should be:

• An incredibly strong coder with a track record of contributions to AI products and systems.
• Experienced with Large Language Models or other generative AI models.
• Highly skilled in Python and, ideally, PyTorch.
• Able to roll up your sleeves and get things done.
• A great communicator and team player.

You will

• Drive speed and accuracy improvements in our ML platform, coming up with architecture modifications for 2D and 3D graph neural networks, and rapidly implementing and testing them in pytorch
• Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature
• Dive deep into molecular datasets, creating statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
• Develop creative featurizations of 2D and 3D molecular structures that are inspired by laws of physics and chemistry, enabling our networks to take better advantage of available data
• Work closely with software engineers and medicinal chemists to make our ML platform maximally adaptive to different use cases

You are

• A strong software engineer who will write code quickly and uphold our code quality standards
• A deep thinker who reasons from first principles over pattern matching
• Interested in learning about biochemistry and the drug development process

What we offer

• The opportunity to work on challenging, high impact ML research that is immediately deployed to accelerate the discovery of new medicines
• One-on-one mentorship to help guide your research and act as a point person for questions
• Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas

You will

• Drive speed and accuracy improvements in our ML platform, coming up with architecture modifications for 2D and 3D graph neural networks, and rapidly implementing and testing them in pytorch
• Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature
• Dive deep into molecular datasets, creating statistically rigorous train, valid, and test sets to optimally train our models for real-world prediction and generation tasks
• Develop creative featurizations of 2D and 3D molecular structures that are inspired by laws of physics and chemistry, enabling our networks to take better advantage of available data
• Work closely with software engineers and medicinal chemists to make our ML platform maximally adaptive to different use cases

You are

• An ML research scientist with substantial experience in top AI research labs, in academia and/or industry
• A strong software engineer who will write code quickly and uphold our code quality standards
• Experienced implementing, tuning, and testing deep neural networks from scratch based on existing publications -- preferably including your own original architectural ideas -- in pytorch or tensorflow
• A deep thinker who reasons from first principles over pattern matching
• Interested in learning about biochemistry and the drug development process

What we offer

• The opportunity to work on challenging, high impact ML research that is immediately deployed to accelerate the discovery of new medicines
• Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas
• Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program

What we're looking for

In this role, you’ll build machine learning models that power AI-detection and verification at GPTZero. You’ll engage in the entire life cycle, from research, data, training, evaluation, and deployment. You’ll be building cutting-edge models with a global reach for over 1M users.

Responsibilities

• Design, train, and fine-tune state-of-the-art large language models

• Build efficient and scalable ML training and inference systems

• Build pipelines to generate synthetic datasets of AI text and ingest datasets of human text

• Design prompts to adversarially attack our models

• Research the literature for state-of-the-art methods and models to solve novel problems

• Work closely with product teams to develop intuitive applications

Qualifications

• Proficiency in Python and PyTorch

• Past experience with applied NLP models (i.e. Transformer models)

• Ability to scope, plan, and execute projects independently

• Strong collaboration and communication skills

• Wear multiple hats and be a leader as our team grows

• Work with 5 hours of overlap with Eastern Standard Time

• Bonus: experience with distributed training

• Bonus: experience with classic NLP (NER, POS tagging)

• Bonus: publications at top-tier ML venues

• Bonus: Understanding of how machine learning models fail in the wild

Our Perks

• 🏥 Health, dental, and mental health benefits

• 💻 Remote work with co-working hubs in Toronto and NYC

• 🚀 Competitive salary and equity

• 🏝 Generous PTO and holidays

• 🎉 Regular company retreats

• 🙌 Wellness and learning stipend

We're hiring Applied Scientists at multiple levels from Staff to Principal!

We're looking for talented Applied Scientists to join our mission!

The impact you’ll have

As an Applied Scientist, you will be strengthening the Gretel team with your expertise in generative modeling, working on ways to create high quality synthetic data to safely share without privacy constraints while enabling model training performance. You'll be building cutting edge deep learning models to unlock customer data via generative AI.

With over 75k developers using Gretel’s platform, hundreds of thousands of models trained, and hundreds of billions of records trained, the impact you can have on the synthetic data industry is massive, and there is so much more to do!

You'll work in the following areas:

• Come up with novel algorithmic and systems solutions to pursue in the advancement of building foundational models.

• Be involved in end-to-end development, exploring new applications and techniques, build distributed systems, study privacy first generative models, and launch production systems.

• Train Models from scratch to improve the performance of low resource data by developing systems, data processing pipelines, and incorporating feedback from our customers.

Requirements

• M.S. or PhD in Computer Science, related technical field, or equivalent practical experience.

• 5+ years of industry experience in two or more of the following areas:

  • NLP, Deep learning, Language Modeling, Generative modeling

• Strong coding skills and deep experience working with ML frameworks such as TensorFlow, HuggingFace, PyTorch, OpenCV, Fairlearn, or MLflow

• Deep experience with ML techniques such as Transformers, LSTM, GANs, CNNs, Graph Neural Networks, or other deep gradient based methods

• Strong communication skills -– you are able to clearly express ideas both verbally and in written form. We’re a distributed team so we’re extra mindful about communication.

Nice to haves

• Experience generating synthetic data for a variety of use cases.

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

• Familiarity with:

  • Slurm, MPI, Ray, Distributed Systems, Model Parallelism, FSDP

• Experience working remotely in a distributed company

At Gretel, we believe that the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies. We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh. We are deeply collaborative, apolitical and mission-oriented.

Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.

Compensation

Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter.

About the role

Our technology powers financial services firms who are running due diligence on billion-dollar deals and want to make their analysts faster and smarter.

You will own the full ML pipeline from project ideation, data curation, project execution, and continuous evaluation in production. You'll have close feedback loops with users and our Product team. In the past few months, we have:

• Built sub-second, layout-aware semantic search on top of data in any format
• Developed automatic safeguards to control generative models
• Fine-tuned foundation models to scale beyond narrow academic benchmarks
• Leveraged state-of-the-art NLP models to turn semi-structured data into actionable customer insights
• Developed regression tests to enable rapid experimentation

This role is based out of our New York City office in Soho.

Responsibilities

1. Close the publication-to-practice gap: Turn proof-of-concept papers into a real customer feature the week they’re published
2. Own product features: Solve a customer need end-to-end in a way they can actually understand and trust
3. Know the user: Understand real use cases and pain points deeply

Who You Are

1. 5+ years ML research or ML engineering at a venture-backed startup or top industry AI group
2. Embraces rapid prototyping with an emphasis on user feedback
3. Autonomous and excited about taking ownership over major initiatives
4. Extreme passion for learning, growth, and leadership
5. Focused on real user impact instead of academic work

Compensation and Benefits

The annual salary/OTE range for 5+ years of experience for this role is $150,000 – $225,000 with target equity + benefits

Benefits:

• Medical, dental, and vision insurance coverage for you
• 401K
• Two weeks PTO
• Free meals

Job description

As Hebbia’s first prompt engineer, you will be at the forefront of a new art: teaching, instructing, and programming large language models to get the best from them.

Your role is to deeply understand our users’ needs, figure out and test the best way to prompt models to meet these needs, and then teach our users. You’ll work closely with our customer success, engineering, and product teams.

This role is based out of our New York City office in Soho.

Responsibilities

1. Understand our users’ needs: spend time with our users, deeply understand their explicit and implicit needs and where Hebbia can add the most value
2. Figure out and test the best way to prompt models to meet these needs: discover the best way to prompt models - thinking through typical use cases and edge cases; and test - code your changes into the tool and continue to refine
3. Work with engineering and product teams to implement best practices into tool: help engineering team code changes into tools, work with product teams to iterate on use cases and work flows
4. Teach users: Share best practices with users, customer success & sales teams through documentation, onboardings etc.

Who you are

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- Proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development and deployment

- Experience in AI or LLM product development preferred

- High level familiarity with architecture and operation of large language models

- Customer obsessed: extremely excited about diving deeply into user needs and workflows, and getting the best out of our tool for them

- Problem-solving and analytical skills: Ability to logically break down complex problems, propose precise but innovative solutions, think through edge cases

- Persistence and pace: iterate repeatedly and at pace to improve our prompting for users

- Communication: excellent communicator - with users, engineers, product teams - particularly adept at explaining complex technical concepts to non-technical audiences

- Leadership and teamwork: Proven experience collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.

You will:

You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:

• Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
• Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
• Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms

You have:

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
• Comfort operating in a fast-paced environment to deliver customer projects
• Introspection, thoughtfulness, and detail-orientation
• Experience working with neural networks, Tensorflow and/or PyTorch
• Fluency in Python and working knowledge of C/C++ programing
• A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
• Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field

Your Impact

You will be part of a team that conceptualises, develops, tests, and integrates novel AI algorithms based on state of the art research for our distributed perception platform and edge capabilities.

What you will work on

You will develop, train and evaluate novel Artificial Intelligence (AI) algorithms and methods that allow perception at the edge and decision support for real world applications in distributed and decentralised environments.

Who we are looking for

• MSc or Ph.D. in robotics, computer science, engineering or related field
• Experienced in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
• Solid communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
• Passionate about keeping up to date with current research and having fun to reimplement and extend papers on state of the art Deep Learning and Machine Learning-based approaches
• Solid software engineering skills, writing clean and well-structured code in python and/or modern C++

Nice to Have

• PhD in robotics, computer science, engineering or related field
• You have designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources
• Hands-on experience with one of the following: Object Tracking , Object Detection, Metric Learning for Few- and Zero-Shot learning, or Generative Models
• Good grasp of modern neural network architectures e.g., FPN, SPP, Transformers, Graph NNs, etc
• Authored publications in top-tier conferences, e.g., CVPR, NIPS, ICCV, ICRA, IROS, etc
• Exposure to end-to-end product delivery by leading technical discussions and projects
• Experience developing or using high-fidelity simulation tools to generate realistic sonar data.
• Familiarity with pipelines for passive and active sonar applications, current research directions and strong opinions on the applicability of AI in this domain
• Expertise of fusion approaches for multi-sensor sonar systems for the purposes of understanding multiple sources
• Experience developing or using high-fidelity simulation tools to generate realistic signal data.
• Familiarity with pipelines for ELINT, Electronic Attack, Electronic Support, and Electronic Protect, and current research on the applicability of AI in these domains.

Why Helsing

• There is no other company like Helsing: we are at a pivotal stage in our journey, with a unique level of funding, and a unique level of ambition
• Work alongside and learn from world-class AI researchers and software engineers. Our team combines excellence with dedication to our mission
• Define, create, and build from the ground up. Technology, processes, and even the organisation we are all part of
• Be part of, and build, the foundational culture of the most important deep tech company in Europe

What we offer

• The chance to work in an innovative organisation focused on protecting our democracies and future generations
• The opportunity to drive impact in a fast-growing company with mission-orientated colleagues
• Diverse, collaborative and focused teams located in Munich, Berlin, London and Paris
• Flexible working hours
• Supportive team structures and regular feedback
• Regular company events to bring together all staff as one unit across Europe
• Competitive compensation and stock options

Your Impact

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art AI research and models, and integrating it into complex systems. You'll be defining and executing against the end-to-end outcome, and all steps on the way, to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

What you will work on

In close collaboration with our product teams, you discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

Who we are looking for

Note: The following bullet points describe one version of our dream candidate. We very much encourage you to apply even if you believe you meet only part of our wish list.

• You have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Your broad understanding and creative use of computer systems is the Swiss army knife in Helsing’s toolbox of world-class talent.

• You prefer asking questions over stipulating answers.

• You love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• You are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all

• Bonus points if you have professional experience working in a defence context.

• You are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• You can navigate and configure Linux systems and have a basic understanding of network stacks and database systems.

• If Germany based- it is a requirement that you are able to speak business level or fluent German

Nice to have

• Experience with Rust and Python

• Experience with container-based and cloud-native application architectures

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar

• Experience with SQL, NoSQL, and streaming database systems

• Experience with production ML systems

Why Helsing

• There is no other company like Helsing: we are at a pivotal stage in our journey, with a unique level of funding, and a unique level of ambition

• Work alongside and learn from world-class AI researchers and software engineers. Our team combines excellence with dedication to our mission

• Define, create, and build from the ground up. Technology, processes, and even the organisation we are all part of

• Be part of, and build, the foundational culture of the most important deep-tech company in Europe

• Have an enormous impact on some of the most important geo-political, global problems, with an ethics-first approach. We regularly host company-wide fireside chats on key global issues and ethics debates

• Be part of a transparent, friendly and outcome-driven culture where trust, respect, recognition and autonomy are at the forefront of everything that we do

What we offer

• The opportunity to drive impact and build the culture in one of the fastest-growing companies in Europe with mission-orientated colleagues

• A diverse, collaborative, hard-working team located in the heart of Munich, London, Berlin and Paris

• Opportunity to visit and work from our other offices

• Flexible working hours and locations

• Diverse team events and fun in and outside the office

• Regular company-wide get-togethers in locations across Europe

• Highly competitive compensation, stock options, and benefits package

• All the equipment and technology requirements you need to be successful