Principal Applied Scientist, Ads Optimization, FAIM at Amazon | Palo Alto, CA | $199K/yr – $309K/yr

Principal Applied Scientist, Ads Optimization, FAIM

Palo Alto, CA (On-site)

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

Posted 6 weeks ago

Job Summary

Own the end-to-end science program for full-funnel campaign optimization by building and deploying ML and optimization solutions, defining the research agenda, and mentoring a growing team of scientists.

Strategize the long-term science roadmap for advertiser value
Prototype and productionize models for budget allocation across ad products
Lead large-scale experiments to validate hypotheses and guide direction

Job Description

Responsibilities

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.
Grow scientific talent and publish impactful research internally and at top-tier venues.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon

Reli. is a family-owned business built around strong valuesand a passion to serve our customers. Our drivestemmed from seeing a need for custom-tailored qualityproducts at wholesale prices & quantities. We wanted to beable to put quality first and still be able to providehonest pricing.With our global and domestic operations, we have thefreedom to center each and every decision around ourvalued customers. We approach all our work with the same driveand energy to make sure our customers can always relyon Reli.

Founded in 2018

Cerritos, California, USA

171 employees (30 in marketing)

www.amazon.com/reli