Applied Scientist, LLM Code Agents, Kiro Science

Amazon Amazon · Big Tech · Santa Clara, CA · Applied Science

Research role focused on advancing LLM code intelligence through reinforcement learning and post-training methodologies, with a goal of deploying these models into developer tools like Kiro IDE and Amazon Q Developer at Amazon scale. The role involves publishing research and transitioning breakthroughs into production systems.

What you'd actually do

  1. Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence
  2. Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale
  3. Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide
  4. Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance
  5. Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP)

Skills

Required

  • reinforcement learning
  • post-training methodologies
  • large language models
  • code intelligence
  • machine learning
  • Java
  • C++
  • Python
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • publication track record
  • 3+ years of building models for business application experience
  • 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

Other signals

  • LLM-Training
  • generative AI
  • reinforcement learning
  • post-training methodologies
  • code intelligence
  • large scale
  • developer tools
  • Amazon Q Developer
  • Kiro IDE