Principal Applied Scientist, Ads Optimization, FAIM

Palo Alto, CA (On-site)

$199K/yr – $309K/yrSenior LevelFull time

Posted 5 hrs ago

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Job Summary

Own the science vision and execution for full-funnel campaign optimization, translating advertiser needs into a concrete research roadmap and delivering production-ready ML and optimization solutions.

  • Lead large-scale experiments and analyses to validate hypotheses
  • Mentor scientists and collaborate with engineering to deploy models

Job Description

Responsibilities

  • Own the science vision for full-funnel campaign optimization 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 full-funnel campaign optimization, 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.

Requirements

  • 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

Preferred

  • 10+ years of relevant experience in industry or academia
  • Knowledge of problem solving, algorithm design, and complexity analysis
  • Experience creating novel algorithms and advancing the state of the art
  • Peer-reviewed scientific contributions in premier journals and conferences

Benefits

  • Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance 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, and parental leave.
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Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

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