Applied Scientist, ML Compiler

Job Overview

Job  | Amazon Development Center U.S., Inc.

The Automated Reasoning Group in the AWS Neuron Compiler team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state‑of‑the‑art deep learning compiler stack. The stack is designed to optimize application models across diverse domains, including Large Language and Vision, from leading frameworks such as PyTorch, Tensor Flow, and JAX.

Your role will involve working closely with our custom‑built Machine Learning accelerators, Inferentia and Trainium, which represent the forefront of AWS innovation for advanced ML capabilities and are the underpinning of Generative AI.

In this role as an Applied Scientist, you will be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business‑critical tooling, publish cutting‑edge research, and mentor a brilliant team of experienced scientists and engineers.

You will need to be technically capable, credible, and curious as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading‑edge design and research in compiler technology and deep‑learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role.

A background in machine learning and AI accelerators is preferred but not required.

• Design, develop, and deploy analyzers for ML compiler stages and compiler IRs.
• Architect and implement business‑critical tooling for the AWS Neuron compiler stack.
• Publish cutting‑edge research at conferences and in journals.
• Mentor a team of experienced scientists and engineers.
• Tackle crucial challenges and contribute to leading‑edge design and research in compiler technology and deep‑learning systems software.

• Experience programming in Java, C++, Python, or a related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.
• PhD, or Master’s degree and 2+ years of CS, CE, ML, or related field experience.

• Experience in professional software development.
• Publication record in automated reasoning or compiler construction.
• Knowledge of interactive theorem provers such as Lean.
• Experience with heuristic search, e.g., fuzzers.

AWS values diverse experiences. Even if you do not meet all of the qualifications listed, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Here at AWS, we foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge‑sharing, mentorship, and other career‑advancing resources here to help you develop into a better‑rounded professional.

We value work‑life harmony and strive for flexibility as part of our working culture. When supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Our base pay ranges from $136,000/year in the lowest geographic market to $223,400/year in the highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon may provide equity, sign‑on payments, and other forms of compensation as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.