Senior Applied Scientist, LLM Code Agents, Kiro Science

Amazon Amazon · Big Tech · Santa Clara, CA · Machine Learning Science

Senior Applied Scientist role focused on LLM code agents, involving reinforcement learning, post-training, and deploying ML solutions at scale for developer tools like Kiro IDE and Amazon Q Developer. The role emphasizes research, publication, and customer-driven innovation within AWS.

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
  • neural deep learning methods

Nice to have

  • First author publications at Tier-1 ML conferences

What the JD emphasized

  • publication track record
  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience

Other signals

  • Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence
  • Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale
  • Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide
  • Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP)
  • Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems