Amazon
Applied Scientist, Advertising Trust
$143K–$223K
New York, NY +2 · Full-time · Posted Oct 15, 2026
- Location
- New York, NY
SEATTLE, WA
San Diego, CA - Experience
- 3+ years building models for business applications; alternatively, a master's degree and 4+ years of CS, CE, ML, or related field experience.
- Education
- PhD, or master's degree and 4+ years of CS, CE, ML, or related field experience.
About the job
Build and deploy agentic solutions and machine learning models that understand and moderate advertising content across modalities, languages, and countries.
What you'll do
- Develop agents and ML models using multimodal visual and textual features for Ads content understanding.
- Collaborate with engineers, product managers, and scientists to build, train, and deploy models and agents.
- Develop production-level code to moderate millions of ads submitted each day.
What they ask for
- Experience building models for business applications.
- PhD, or a master's degree and 4+ years of experience in CS, CE, ML, or a related field.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language; experience with multimodal ML models, AI Agents, RAG, transformers, and vector representations.
Nice to have
- Experience using Unix/Linux and in professional software development.
- Experience with modeling tools or large-scale distributed systems, and a strong statistics background.
Pay
USD 142,800.00 - 193,200.00 annually base salary; USD 172,400.00 - 223,400.00 annually base salary; USD 142,800.00 - 193,200.00 annually base salary
Tools
Java, C++, Python, Unix/Linux, R, scikit-learn, Spark MLLib, MxNet
AI focus
Build agentic solutions and ML models for multimodal advertising content understanding and moderation, scaling across modalities, languages, and countries.
Model-written summary · the original posting is authoritative