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Principal Applied Scientist, FAIM (Full Funnel Agentic Intelligence and Models)

Amazon· Applied Science
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Hybrid (New York, NY), Hybrid (Seattle, WA), Hybrid (Palo Alto, CA)$228.7k - $309.4kFull-timePosted yesterday

About the role

Principal Applied Scientist for the FAIM team responsible for inventing foundational optimization science and models to optimize advertising campaigns, including campaign recommendation, budget allocation, incrementality, and long-term value, with productionizable solutions at Amazon scale.

Responsibilities

  • Own the science vision for training models in our RL Gym from end-to-end
  • Invent models for joint budget allocation, incrementality, and long-term value
  • Take innovations from prototype to production serving live advertiser campaigns
  • Raise the technical bar across scientists and engineers
  • Define the long-term scientific vision for our RL Gym based training process focusing on campaign optimization and other advertising workflows
  • Translating ambiguous advertiser needs and competing objectives into a concrete science roadmap
  • Invent, prototype, and productionize machine learning and optimization solutions for joint budget allocation across sponsored ad products, spanning the shopper journey from awareness to purchase
  • Develop rigorous approaches to incrementality measurement and long-term-sales modeling that ground optimization in true advertiser value
  • Design and lead large-scale experiments and analyses to validate hypotheses and guide product direction
  • Partner closely with engineering and product to define technical contracts, data schemas, and serving systems that carry models into production
  • Raise the technical bar across science and engineering through mentorship, design reviews, and hands-on collaboration
  • Grow scientific talent and publish impactful research internally and at top-tier venues

Qualifications

  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Experience distilling informal customer requirements into problem definitions while dealing with ambiguity and competing objectives
  • Experience programming in Java, C++, Python, or related language
  • Experience leading experienced scientists, as well as a record of developing junior members from academia or industry into a career track in a business environment

Skills

Required:PhD in technical fieldPredictive modeling and analysisMachine learning / optimizationProductionizing researchLeadership and mentorship

Benefits

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D) and option for Supplemental life plans
  • EAP, Mental Health Support, Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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