Applied Scientist – Sponsored Products & Brands (GenAI)

Filled
February 11, 2026
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Job Description

Locations: New York, NY | Seattle, WA
Salary Range:

  • New York: $172,400 – $223,400 annually
  • Seattle: $142,800 – $193,200 annually

About Sponsored Products & Brands

The Sponsored Products and Brands team at Amazon Ads is redefining the advertising landscape through industry-leading generative AI technologies. We are transforming how millions of customers discover products and how brands connect with shoppers across Amazon.com and beyond.

Our mission is to bridge human creativity with artificial intelligence—reimagining every stage of the advertising lifecycle, from ad creation and optimization to performance analysis and customer insights. We build responsible, intelligent AI systems that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace.

If you are excited by complex scientific challenges and want to push the boundaries of applied AI at global scale, this is your opportunity.

About the Team

The Sponsored Brands Impressions-based Offerings team evolves the value proposition of Sponsored Brands to scale brand advertising in retail media.

We build end-to-end solutions that help brands:

  • Drive product discovery and visibility
  • Acquire new customers
  • Increase share of voice
  • Grow sustainable customer lifetime value

Our success is defined by:

  1. Shoppers discovering and engaging with brands in meaningful ways
  2. Brands scaling their business effectively using our advertising solutions

Role Overview

As an Applied Scientist, you will lead the development of advanced AI systems that power advertiser and shopper experiences. You will shape the long-term science vision for Sponsored Brands and translate customer needs into scalable modeling solutions.

This role blends:

  • Scientific leadership
  • Technical depth
  • Product strategy
  • Business impact

Key Responsibilities

  • Develop AI and generative model solutions for advertiser controls, shopper experiences, monetization, and campaign optimization
  • Build large-scale optimization systems leveraging generative AI and advanced modeling techniques
  • Define and drive a long-term science roadmap aligned with customer and business needs
  • Design and execute A/B experiments to evaluate model impact
  • Perform deep data analysis to inform modeling decisions
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders
  • Stay at the forefront of generative AI research and identify multi-year opportunities for innovation

Basic Qualifications

  • 3+ years building models for business applications
  • PhD OR Master’s degree with 4+ years of experience in Computer Science, Machine Learning, or related field
  • Programming experience in Java, C++, Python, or related languages
  • Experience in one or more of the following areas:
    • Algorithms & data structures
    • Numerical optimization
    • Data mining
    • Parsing
    • Parallel & distributed computing
    • High-performance computing
  • 3+ years of experience in digital advertising technology

Preferred Qualifications

  • Demonstrated track record of innovative AI solution development
  • Experience with generative model architectures
  • Research publications or patents in generative AI

What We Offer

Your total compensation package may include:

  • Competitive base salary
  • Sign-on bonuses
  • Restricted Stock Units (RSUs)
  • Comprehensive medical, dental, and vision coverage
  • 401(k) matching
  • Paid time off and parental leave
  • Mental health support, EAP, and flexible spending accounts