Senior Applied Scientist, LLM Code Agents, Kiro Science
Core
Pioneering next-generation AI-driven development tools and generative AI technologies (Kiro IDE, Amazon Q Developer) by pushing boundaries in reinforcement learning and post-training for large language models specialized in code intelligence.
Role type
Senior Applied Scientist (LLM Code Agents)
Builds
Groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer for software developers
Domain
Cloud computing, Generative AI, Large Language Models, Code Intelligence
Deliverable
production ML models
Required skills
Reinforcement learning, Post-training methodologies, Large language models, Machine learning solutions, Distributed systems, Scientific publishing
Preferred skills
Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy), Large scale distributed systems (Hadoop, Spark), Peer-reviewed scientific contributions
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Push boundaries of reinforcement learning and post-training for LLMs specialized in code intelligence, Invent and implement state-of-the-art machine learning solutions at Amazon scale, Deploy revolutionary products impacting developer workflows, Break new ground in AI and machine learning, Publish and present work at premier ML and NLP conferences, Accelerate innovation by transitioning research breakthroughs into production systems
Seniority
Senior, hands-on IC