LLM Code Agent Scientist — Pioneering AI Dev Tools (Hybrid)

Amazon Web Services (AWS); Santa Clara (CA); Hybrid; USD 172,000 - 222,000; Full time

Job summary

Amazon.com Services LLC is assembling an elite AWS Kiro LLM-Training team to pioneer AI-driven development tools, including Kiro IDE and Amazon Q Developer, transforming the software development landscape.

The team combines world-class researchers and engineers to push the boundaries of ML for code intelligence, with opportunities to publish at leading conferences and to ship production-ready AI products.

Qualifications

• 3+ years building models for business applications.
• PhD or MS with 4+ years in CS/CE/ML or related field.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

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 ML solutions that operate at unprecedented Amazon scale.
• Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide.
• Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance.
• Publish and present pioneering work at premier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP).
• Accelerate innovation by working directly with customers to transition research breakthroughs into production systems.

Skills

Java C++ Python

Education

PhD or MS in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon.com Services LLC is assembling an elite AWS Kiro LLM-Training team to pioneer AI-driven development tools, including Kiro IDE and Amazon Q Developer, transforming the software development landscape.

The team combines world-class researchers and engineers to push the boundaries of ML for code intelligence, with opportunities to publish at leading conferences and to ship production-ready AI products.