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 contributing to 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

Nice to have

  • PhD or equivalent research experience
  • programming languages
  • compilers
  • program analyzers
  • theorem provers
  • program synthesis engines
  • machine learning
  • AI accelerators

What the JD emphasized

  • state-of-the-art deep learning compiler stack
  • custom-built Machine Learning accelerator
  • advanced ML capabilities
  • Generative AI
  • ML compiler stages
  • compiler IRs
  • business-critical tooling
  • compiler technology
  • deep-learning systems software

Other signals

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