Senior Applied Scientist, C360

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

Senior Applied Scientist role focused on improving shopping experiences using LLMs. The role involves post-training activities like instruction tuning, reward modeling, reinforcement learning, and aligning LLMs with embedding modalities. Responsibilities include designing and running large-scale experiments, analyzing model behavior, and developing new training recipes to enhance reasoning and personalization.

What you'd actually do

  1. design and run large-scale experiments
  2. analyze model behavior
  3. develop new training recipes that directly improve core capabilities like reasoning, personalized experiences, and other frontier paradigms that redefine what LLMs can do

Skills

Required

  • building machine learning models for business application
  • neural deep learning methods
  • machine learning
  • Java
  • C++
  • Python

Nice to have

  • R
  • scikit-learn
  • Spark MLLib
  • MxNet
  • Tensorflow
  • numpy
  • scipy
  • large scale distributed systems
  • Hadoop
  • Spark

What the JD emphasized

  • post-training
  • instruction tuning
  • reward modeling
  • reinforcement learning
  • aligning LLMs with other embedding modalities
  • reasoning
  • personalized experiences
  • frontier paradigms

Other signals

  • post-training
  • instruction tuning
  • reward modeling
  • reinforcement learning
  • aligning LLMs with other embedding modalities
  • large-scale experiments
  • model behavior analysis
  • new training recipes
  • reasoning
  • personalized experiences
  • frontier paradigms