Senior Applied Scientist, Alexa for Shopping (rufus)

Amazon Amazon · Big Tech · Palo Alto, CA · Applied Science

This role focuses on developing Agentic Language Models for next-generation shopping experiences, involving LLM post-training and Reinforcement Learning. The scientist will collaborate with a multidisciplinary team to deliver these experiences across customer-facing features, bringing LLM research into practical application.

What you'd actually do

  1. developing Agentic Language Models to unlock new shopping experiences
  2. collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features
  3. bringing latest LLM post-training research into everyday life—both for customers and for yourself
  4. work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation

Skills

Required

  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience in patents or publications at top-tier peer-reviewed conferences (e.g. ICLR, ICML, Neurips) or journals

Nice to have

  • Prior experiences with LLM Post-training techniques, Reinforcement Learning (RL) Training and business specific RL gym creation is preferred
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.

What the JD emphasized

  • Agentic Language Models
  • LLM Post-training techniques
  • Reinforcement Learning (RL) Training
  • patents or publications at top-tier peer-reviewed conferences

Other signals

  • developing Agentic Language Models
  • unlock new shopping experiences
  • LLM Post-training techniques
  • Reinforcement Learning (RL) Training