Applied Science Manager , C360

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

Manager for a team working on LLM and VLM post-training and alignment for personalized shopping experiences, leveraging customer behavioral data.

What you'd actually do

  1. managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences
  2. working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers
  3. improving shopping on Amazon using the conversational capabilities of large language models and through customer behavioral data to make them more personalized for each customer
  4. managing a team of scientists or machine learning engineers

Skills

Required

  • ML management experience
  • ML
  • NLP
  • Information Retrieval
  • Analytics
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

Nice to have

  • building machine learning models or developing algorithms for business application
  • building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
  • Deep expertise with Large Language Model, Visual Language Models and Embedding modalities (vision and others). The candidate has published or has artifacts in working in the intersection of these models either during pre-training or post-training.

What the JD emphasized

  • 3+ years of scientists or machine learning engineers management experience
  • Deep expertise with Large Language Model, Visual Language Models and Embedding modalities (vision and others). The candidate has published or has artifacts in working in the intersection of these models either during pre-training or post-training.

Other signals

  • LLM post-training and alignment
  • Vision-Language Model (VLM) post-training and alignment
  • customer behavioral data
  • personalized shopping experiences