A

Amazon

Sells products online and rents cloud computing

Principal Applied Scientist-Agentic RL

AI ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD, or a Master's degree and 10+ years of computer science, computer engineering, machine learning, or related field experience.
  • At least 5 years of hands-on large-scale training experience.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Programming experience in C++, Python, or a related language.

Responsibilities

  • Advance reinforcement learning and post-training methodologies for large language models specialized in code intelligence.
  • Invent and implement agentic reinforcement learning training recipes operating at Amazon scale.
  • Deploy products that impact developers' daily workflows.
  • Conduct research in artificial intelligence and machine learning for intelligent code assistance.
  • Publish and present work at premier machine learning conferences, including NeurIPS, ICML, and ICLR.
  • Work directly with customers to transition research breakthroughs into production systems.

Desired Qualifications

  • Prior experience training or performing inference for large-scale models.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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