Senior Applied Scientist, Annapurna ML
Listed on 2026-06-18
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
The Annapurna ML team is looking for a Senior 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, 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 Annapurna innovation for advanced ML capabilities, and are the underpinning of Generative AI.
As a Senior 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. You will need to be technically capable, credible, and curious in your own right as a trusted scientist, 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.
Basic Qualifications- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
- 5+ years of building models for business application experience
- Publication record in compilers, programming languages, fuzz testing, or program synthesis
- Experience applying program analyzers and fuzz testing to large code bases
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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