Applied Scientist, Aws Neuron Science Team

Amazon Amazon · Big Tech · Cupertino, CA · Research Science

Applied Scientist role focused on enhancing the AWS Neuron software stack for Trainium and Inferentia accelerators. The role involves working with customers to identify adoption barriers, collaborating with engineering teams on solutions, and engaging with research communities to advance ML systems. Key areas include AI for Systems (kernel/code generation, optimization), Machine Learning Compiler, System Robustness, and Efficient Kernel Development.

What you'd actually do

  1. Develop and apply ML/RL approaches for kernel/code generation and optimization
  2. Create advanced compiler techniques for ML workloads
  3. Build tools for accuracy and reliability validation
  4. Design high-performance kernels optimized for ML accelerator architectures

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

  • Experience building machine learning models or developing algorithms for business application
  • Experience in professional software development

What the JD emphasized

  • patents or publications at top-tier peer-reviewed conferences or journals
  • Experience building machine learning models or developing algorithms for business application

Other signals

  • AWS Neuron
  • Trainium and Inferentia accelerators
  • ML compiler
  • kernel/code generation and optimization
  • high-performance kernels