Amazon
Senior Applied Scientist, PV Ads Science
$167K–$249K
Seattle, WA +3 · Senior · Full-time · Posted Oct 26, 2026
- Location
- Seattle, WA
Arlington, VA
New York, NY
SEATTLE, WA - Experience
- 5+ years building machine-learning models for business applications; alternatively, the education requirement is a PhD or a Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Leads research and production development of machine-learning systems that personalize Prime Video advertising and optimize outcomes through experimentation and causal methods.
What you'll do
- Develop and deploy models that personalize ad decisions at scale, including deep-learning models for customer behavior prediction.
- Design and analyze large-scale A/B experiments using causal inference to evaluate ad strategies and their effects.
- Partner with engineering and product teams on production requirements, product decisions, and the scientific roadmap.
What they ask for
- 5+ years of experience building machine-learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
Nice to have
- Experience with large-scale machine-learning systems, including profiling, debugging, and understanding system performance and scalability.
Pay
183,800.00 - 248,700.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, Generative AI, Deep Learning, Causal ML
AI focus
Develops personalization and advertising models using machine learning, deep learning, causal inference, and Generative AI, deployed as production-ready systems at Amazon scale.
Model-written summary · the original posting is authoritative