Senior Applied Scientist, LLM Code Agents, Kiro Science

Amazon
Austin, US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • push the boundaries of reinforcement learning and post-training methodologies
  • invent and implement state-of-the-art machine learning solutions
Typical background
PhD in Computer Science, Machine Learning, or a related field

Transferable backgrounds

Skills & requirements

Required

reinforcement learningpost-training methodologieslarge language modelsdeploy revolutionary productspublish and present pioneering work at premier ML and NLP conferences

Preferred

accelerate innovation by working directly with customers

Stack & domain

Reinforcement learningPost-training methodologiesLarge language modelsCode intelligenceMachine learningAmazon web services (aws)Kiro ideAmazon q developerNeuripsIcmlIclrAclEmnlpAiNlp

About the role

Amazon Web Services (AWS) is assembling an elite team of world‑class scientists and engineers to pioneer the next generation of AI‑driven development tools. Join the Amazon Kiro LLM‑Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape.

Key Responsibilities

  • 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…

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