Applied Scientist, Neuron Arg, Annapurna ML

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role focused on the intersection of AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators like Trainium. Responsibilities include designing, developing, and deploying analyzers, architecting tooling, and publishing research in compiler technology and deep learning systems software.

What you'd actually do

  1. designing, developing, and deploying analyzers for ML compiler stages and compiler IRs
  2. architect and implement business-critical tooling
  3. publish research
  4. mentor a brilliant team of experienced scientists and engineers

Skills

Required

  • 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • PhD in computer science, computer engineering, or related field
  • background in machine learning and AI accelerators

What the JD emphasized

  • state-of-the-art deep learning compiler stack
  • Machine Learning accelerator
  • Generative AI
  • business-critical tooling
  • leading-edge design and research in compiler technology and deep-learning systems software
  • Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit

Other signals

  • deep learning compiler stack
  • optimize application models
  • Machine Learning accelerator
  • Generative AI
  • designing, developing, and deploying analyzers for ML compiler stages and compiler IRs
  • architect and implement business-critical tooling
  • publish research
  • compiler technology and deep-learning systems software