CareerPlan

Applied Scientist, Amazon Ads

San Francisco, California, United StatesFull-time$172k–$222k2026-10-14 → 2026-11-10

Core

Build large-scale ML models and pipelines for supply optimization in real-time ad decision systems, processing millions of requests per second to filter traffic and maximize advertiser value.

Role type

Senior Applied Scientist (Machine Learning)

Builds

Production ML models and optimization pipelines for Amazon Ads supply-side

Domain

Programmatic advertising, real-time bidding, large-scale distributed systems

Deliverable

production ML models

Required skills

Large-scale ML, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java/C++/Python

Preferred skills

Unix/Linux, professional software development

Technologies

Java, C++, Python, Unix/Linux

Responsibilities

Conduct hands-on data analysis and build large-scale ML models for supply optimization; Design and run A/B experiments and causal analysis on petabyte-scale data; Research and apply advanced ML including generative AI and LLMs for demand prediction; Drive end-to-end optimization projects for traffic monetization; Partner with engineers to productionize models.

Seniority

Senior, hands-on IC