Senior AI Scientist: Code Intelligence & LLMs

Amazon Web Services (AWS); New York (NY); Hybrid; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Parental leave

Job summary

Amazon Web Services (AWS) is assembling an elite team to pioneer AI-driven development tools, including Kiro IDE and Amazon Q Developer. The role centers on advancing ML for code intelligence and translating research into scalable production systems.

Responsibilities include RL for LLMs, delivering impactful ML solutions, and engaging with customers to accelerate adoption. The position supports a hybrid US-work model with opportunities to publish at leading conferences.

Qualifications

• 3+ years of building ML models for business applications.
• PhD or Master's + 6+ years applied research.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and ML.
• Preferred: peer-reviewed contributions in premier journals/conferences.

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 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 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

Skills

ML experience

Java/C++/Python

Deep learning

Education

PhD or Master's + 6+ years research

Job description

Amazon Web Services (AWS) is assembling an elite team to pioneer AI-driven development tools, including Kiro IDE and Amazon Q Developer. The role centers on advancing ML for code intelligence and translating research into scalable production systems.

Responsibilities include RL for LLMs, delivering impactful ML solutions, and engaging with customers to accelerate adoption. The position supports a hybrid US-work model with opportunities to publish at leading conferences.