Applied Scientist, Alexa for Shopping (rufus) Experience Science

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Develop Agentic Language Models for shopping experiences, involving LLM post-training and Reinforcement Learning, with a focus on delivering production-ready solutions.

What you'd actually do

  1. Execute the science vision and roadmap.
  2. Develop data-driven solutions for the real-world, large scale problems in alexa for shopping.
  3. Deliver and maintain software and models in the production environment.
  4. Collaborate cross-functionally between product, design, and engineering.

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Prior experiences with LLM Post-training techniques
  • Reinforcement Learning Training
  • business specific RL gym creation
  • Experience using Unix/Linux
  • Experience in professional software development
  • Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members

What the JD emphasized

  • building models for business application experience
  • patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • Developing Agentic Language Models
  • unlock new shopping experiences
  • deliver these experiences across multiple Rufus customer-facing features