Senior Applied Scientist, Annapurna Ml

Amazon

United States, WA, United States
192,200.00 - 260,000.00 usd annually py
On-site
Ai and program analysis
Deep learning compiler stack
Ml accelerators
Amazon's Annapurna ML team is seeking a Senior Applied Scientist to enhance code quality in their advanced deep learning compiler stack, focusing on AI and program analysis. The role involves designing and deploying analytical tools, collaborating with engineering teams, and contributing to innovative research in compiler technology

Job Summary

  • 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.
  • 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.
  • As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs.

Matching Summary

Match Score: 85

Amazon's Annapurna ML team is seeking a Senior Applied Scientist to enhance code quality in their advanced deep learning compiler stack, focusing on AI and program analysis. The role involves designing and deploying analytical tools, collaborating with engineering teams, and contributing to innovative research in compiler technology.

Salary

192,200.00 - 260,000.00 USD annually

Skills & Requirements

Must-have

  • AI and program analysis
  • deep learning compiler stack
  • ML accelerators
  • Generative AI underpinning
  • compiler technology research
  • deep-learning systems software

Nice-to-have

  • technically capable and credible
  • innovating on behalf of customers
  • diverse experiences encouraged
  • work-life harmony valued
  • continuous learning and curiosity

Key Requirements

  • Strong experience in programming languages
  • Strong experience in compilers
  • Strong experience in program analyzers
  • Strong experience in program synthesis engines
  • Background in machine learning preferred
  • Background in AI accelerators preferred

Work Rights

Not specified

Tailored Resume

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