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Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)
Help build Amazon's world-class advertising business by applying machine learning and generative AI to hard problems in campaign optimization. As an Applied Scientist, you'll take models from problem formulation to production, working close
- Company
- Amazon
- Location
- Palo Alto, California, USA
- Status
- Open
- Posted
- 2026-09-21T00:00:00+00:00
An applied scientist role in Amazon Ads' Forecasting, Insights and Guidance group, on-site in Palo Alto. The work is machine learning and generative AI applied to advertising campaign optimization: leading projects from problem framing to production, building models that improve advertiser outcomes, running experiments and statistical analyses, and researching new techniques. The posting asks for 3+ years building models for business applications, a PhD or a master's plus 4 years, programming in Java, C++, Python or similar, and experience with large language models, optimization under uncertainty, causal inference and PyTorch.
Original job posting