Senior Applied Scientist, Annapurna ML
About the role
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, TensorFlow, 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 is the underpinning of Generative AI.
Responsibilities
- Design, develop, and deploy analyzers for ML compiler stages and compiler IRs.
- Architect and implement business-critical tooling.
- Publish research.
- 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.
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.
Preferred Qualifications
- Publication record in compilers, programming languages, fuzz testing, or program synthesis.
- Experience applying program analyzers and fuzz testing to large code bases.
What you'll bring
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.