Amazon
Applied Scientist, Advertiser Growth Engine
$172K–$223K
New York, NY · Full-time · Posted Oct 5, 2026
- Experience
- 3+ years building models for business application; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree
About the job
Researches and builds machine-learning solutions that localize multimedia advertising and support advertisers expanding across marketplaces.
What you'll do
- Build, analyze, validate, and productionize scalable machine-learning models and services.
- Run large-scale analyses and A/B experiments, evaluate results, and communicate findings to business stakeholders.
- Research machine-learning approaches and identify opportunities in advertising localization and international expansion.
What they ask for
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ 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 developing deep-learning algorithms, particularly computer vision algorithms, and using frameworks such as MxNet and Tensor Flow.
- Experience designing experiments and analyzing results; Unix/Linux or professional software development experience.
Pay
172,400.00 - 223,400.00 USD annually (base salary)
Tools
Java, C++, Python, MxNet, Tensor Flow, Unix/Linux
AI focus
Machine learning for localizing multilingual, multimedia advertising content—including text, images, and videos—and supporting international expansion and global campaigns.
Model-written summary · the original posting is authoritative