Senior Applied Scientist, Annapurna ML

Job Overview

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. The 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, the forefront of Annapurna innovation for advanced ML capabilities and the underpinning of Generative AI.

• Design, develop, and deploy analyzers for ML compiler stages and compiler IRs.
• Architect and implement business‑critical tooling.
• Publish research and mentor a brilliant team of experienced scientists and engineers.
• Tackle crucial challenges alongside a talented engineering team, contributing to leading‑edge design and research in compiler technology and deep‑learning systems software.
• Leverage strong experience in programming languages, compilers, program analyzers, and program synthesis engines (beneficial).

• 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.

Los Angeles County applicants:
Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

USA, CA, Cupertino – $ – $ USD annually.
USA, WA, Seattle – $ – $ USD annually.