Applied Scientist, Neuron ARG, Annapurna ML
Listed on 2026-07-20
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
The Automated Reasoning Group in the Amazon Neuron 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. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX.
Your role will involve working closely with our custom‑built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI.
In this role as an Applied Scientist, you’ll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business‑critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. 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.
You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required.
Qualifications
- PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
- PhD in computer science, computer engineering, or related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
BenefitsAmazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Locations and SalaryUSA, CA, Cupertino – $ – $ USD annually
USA, WA, Seattle – $ – $ USD annually
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