Senior AI Scientist - Code & LLMs (Hybrid)

Amazon Inc.; Santa Clara (CA); Hybrid; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services is assembling an elite team of world-class scientists to pioneer AI-driven development tools, including Kiro IDE and Q Developer, transforming how developers work.

You will push reinforcement learning and post-training methods for language models, invent ML solutions at scale, and drive production adoption with customers globally, with opportunities to publish at top ML/NLP venues.

Qualifications

• 3+ years of building models for business application experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and 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 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

Java

C++

Python

Algorithms & data structures

Tools

Unix/Linux

Job description

Amazon Web Services is assembling an elite team of world-class scientists to pioneer AI-driven development tools, including Kiro IDE and Q Developer, transforming how developers work.

You will push reinforcement learning and post-training methods for language models, invent ML solutions at scale, and drive production adoption with customers globally, with opportunities to publish at top ML/NLP venues.