Senior AI Scientist: Scalable LLM & Code Intelligence

Amazon; Santa Clara (CA); On-site; USD 192,200 - 260,000; Full time

Job summary

Amazon AWS is assembling a world‑class team to pioneer AI-driven development tools such as Kiro IDE and Amazon Q Developer. The role focuses on advancing reinforcement learning for code intelligence and delivering groundbreaking ML solutions at Amazon scale.

Applicants should have 3+ years building ML models for business applications and a PhD or Master’s with 6+ years of applied research. Strong programming in Java, C++, Python is required, along with deep learning experience.

Qualifications

• 3+ years of building machine learning models for business applications
• PhD or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or a related language
• 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 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 and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP)
• Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems

Skills

Machine learning

Java

C++

Python

Research experience

Education

PhD or Master's degree

Job description

Amazon AWS is assembling a world‑class team to pioneer AI-driven development tools such as Kiro IDE and Amazon Q Developer. The role focuses on advancing reinforcement learning for code intelligence and delivering groundbreaking ML solutions at Amazon scale.

Applicants should have 3+ years building ML models for business applications and a PhD or Master’s with 6+ years of applied research. Strong programming in Java, C++, Python is required, along with deep learning experience.