Amazon
Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands
$179K–$309K
Seattle, WA +2 · Principal · Full-time · Posted Oct 24, 2025
- Location
- Seattle, WA
New York, NY
Palo Alto, CA - Experience
- 5+ years of applied ML experience.
- Education
- PhD in Computer Science, Statistics, or related field.
About the job
Leads the science roadmap and a 50+ builder team developing agentic AI recommendations and guidance for Amazon advertisers, from campaign creation and optimization to performance improvement.
What you'll do
- Develop agentic advertiser experiences across the Ad Console, sales-managed channels, and 3P partners.
- Create and evaluate AI methods, including fine-tuning, reinforcement learning, and preference optimization, with attention to safety, reliability, and trust.
- Set scientific and technical standards, communicate findings to leadership, and mentor Applied AI talent.
What they ask for
- PhD in Computer Science, Statistics, or a related field.
- 5+ years of applied ML experience building customer-facing recommender systems involving AI, ML, and NLP.
- Hands-on experience designing and prototyping AI solutions for real-world applications.
Nice to have
- Research publications or patents in generative AI technologies.
- Experience with natural language processing or generative model architectures; advertising technology or e-commerce background is also preferred.
Pay
$179,000/year to $309,400/year USD (base pay)
Tools
AI, ML, NLP, fine-tuning, reinforcement learning, preference optimization
AI focus
Develops agentic AI advertiser guidance and recommendations, using fine-tuning, reinforcement learning, and preference optimization, and builds evaluation frameworks for safety, reliability, and trust.
Model-written summary · the original posting is authoritative