Amazon
Applied Scientist, Amazon Ads
$172K–$222K
San Francisco, CA · Full-time · Posted Oct 14, 2026
- Experience
- 3+ years building models for business applications; alternatively, 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 large-scale machine-learning models and pipelines that optimize advertising traffic, validate impact through experiments and causal analysis, and improve monetization while maintaining customer experience.
What you'll do
- Analyze data and build ML models and pipelines for supply optimization.
- Take models from proof of concept through experimentation and production deployment, partnering with engineers, product managers, and scientists.
- Run A/B experiments and causal analysis; apply advanced ML, including generative AI and LLMs, to demand prediction and traffic filtering.
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.
- Programming experience in Java, C++, Python or a 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
171,600.00 - 222,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux
AI focus
Apply advanced ML, including generative AI and large language models, to demand prediction and traffic filtering.
Model-written summary · the original posting is authoritative