✦ Luna Orbit — AI & Machine Learning

Applied Science Manager , Stores Foundation AI (SFAI)

at Amazon.com

📍 US, WA, Seattle Onsite Posted April 04, 2026
Type Full-Time
Experience lead
Exp. Years 3+ years (management) + 5+ years in science/engineering
Education PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer
Category AI & Machine Learning

Applied Science Manager leading Stores Foundation AI efforts focused on LLM/VLM post-training and alignment to improve shopping experiences. You’ll collaborate with scientists, engineers, and TPMs to deploy AI at scale.

  • Manage a team of scientists and ML engineers
  • Oversee post-training alignment of LLMs and VLMs
  • Collaborate with scientists, engineers, and TPMs
  • Drive AI innovations for customer experiences
  • Define and execute research/production roadmap for SFAI

Role centers on LLM/VLM development, post-training alignment, and applying AI to retail context. Involves managing teams, communicating with stakeholders, and delivering customer-facing AI capabilities.

The ideal candidate is an experienced AI/ML leader with 3+ years managing scientists/engineers, deep knowledge of ML/NLP/IR/Analytics, and a track record of applying large language and vision-language models to retail. They should be comfortable coordinating across scientists, engineers, and TPMs to deliver customer-facing AI capabilities at scale.

3+ years of scientists or machine learning engineers management experienceKnowledge of MLNLPInformation Retrieval and AnalyticsPhD in Computer ScienceComputer Engineeringor related technical field; OR Master's Degree in Computer ScienceComputer Engineeringor related technical field with 5+ years of experience as a Scientist/Engineer
Experience building machine learning models or developing algorithms for business applicationsExperience building complex software systems involving deep learningmachine learning and computer vision
Machine LearningNatural Language ProcessingInformation RetrievalAnalyticsVision-Language ModelLarge Language ModelsPost-training alignmentDeep Learning
Machine LearningNatural Language ProcessingInformation RetrievalAnalyticsVision-Language ModelLarge Language ModelsPost-training alignmentDeep Learning
leadershipteam managementcommunicationcollaborationstrategic thinking
Industry Retail
Job Function Lead Applied Science initiatives for AI-driven Stores experiences using LLM/VLM
Role Subtype Applied Science Manager
Tech Domains AI & Machine Learning, Python, Natural Language Processing, Information Retrieval, Analytics
applied science managerlarge language modelsvision-language modelpost-training alignmentmachine learningnatural language processinginformation retrievalanalyticsleadershipteam managementPhDMaster's degreeSeattleaideep learningdata scienceLarge Language ModelsVision-Language ModelsPost-training alignmentMachine LearningNatural Language ProcessingInformation RetrievalAnalyticsLeadership

3+ years of scientists or machine learning engineers management experience, PhD or Master's with 5+ years in scientific/engineering roles

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