Applied Scientist, Neuron ARG, Annapurna ML
Listed on 2026-06-05
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Overview
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 optimizes 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.
- Design, develop, and deploy analyzers for ML compiler stages and compiler IRs.
- Architect and implement business-critical tooling.
- Publish research and mentor a team of scientists and engineers.
- Contribute to leading-edge design and research in compiler technology and deep-learning systems software.
- Tackle crucial challenges alongside a talented engineering team.
- 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- PhD in computer science, computer engineering, or related field.
- Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines.
- Background in machine learning and AI accelerators.
USA, CA, Cupertino: $ – $ USD annually
USA, WA, Seattle: $ – $ USD annually
BenefitsAmazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance), 401(k) matching, paid time off, and parental leave.
Equal Opportunity EmployerAmazon 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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