Senior LLM Code Scientist — AI Dev Tools (Hybrid)

Amazon Web Services (AWS); Bellevue (WA); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

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 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.

As a member of our team, you’ll push the boundaries of reinforcement learning and post-training methodologies, invent state-of-the-art ML solutions, and

Qualifications

• 3+ years of building machine learning models for business applications
• PhD or Master’s degree with 6+ years of applied research experience
• Proficiency in Java, C++, Python or related languages
• Experience with neural deep learning methods and machine learning

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 at Amazon scale
• Deploy revolutionary products that impact millions of developers
• Break new ground in AI and machine learning for intelligent code assistance
• Publish and present work at premier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP)
• Accelerate innovation by transitioning research breakthroughs into production with customers

Skills

Machine learning

Deep learning

Java

C++

Python

Reinforcement learning

NLP

Education

PhD

Master’s degree

Job description

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 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.

As a member of our team, you’ll push the boundaries of reinforcement learning and post-training methodologies, invent state-of-the-art ML solutions, and