Amazon
Applied Scientist, Personalization, DTx Science
$143K–$223K
New York, NY +1 · Full-time · Posted Oct 16, 2026
- Location
- New York, NY
SEATTLE, WA - Experience
- 3+ years building models for business applications; PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience.
About the job
Leads applied science for Amazon Ads Console recommendations and personalization, developing and deploying machine-learning solutions that improve advertiser outcomes and experience.
What you'll do
- Lead machine-learning projects from analysis and modeling through experimentation, deployment, and production serving.
- Run A/B experiments and statistical analyses to validate models and guide data-driven decisions.
- Shape the science roadmap and provide technical leadership across scientists, engineers, and partner teams.
What they ask for
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience.
- Experience programming in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
172,400.00 - 223,400.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux
AI focus
Develops machine-learning models for ad-console personalization and recommendations, using approaches including deep learning, reinforcement learning, and LLMs; also conducts experimentation and evaluates agentic features.
Model-written summary · the original posting is authoritative