Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
A
Amazon
📍 Boulder, CO, United States
Job Description
Description
Application deadline: Jun 28, 2026
Build the measurement systems that tell advertisers whether their ads actually work — processing 50 billion+ events daily using ML, causal inference, and petabyte-scale AWS infrastructure. Join a team where your code directly enables billions in optimized ad spend across all Amazon Ads products.
We combine rigorous scientific experiments with deterministic and modeled measurement techniques to produce estimates that are fast, precise, and actionable. Using AWS big data and machine learning technologies (EMR, DynamoDB, Spark, Scala), we operate petabyte-scale clusters and continuously innovate on event-driven architectures to stay ahead of rapidly growing scale. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
Key job responsibilities
- Design, build, and operate large-scale distributed systems that process 50B+ daily events for causal ad measurement
- De...
Application deadline: Jun 28, 2026
Build the measurement systems that tell advertisers whether their ads actually work — processing 50 billion+ events daily using ML, causal inference, and petabyte-scale AWS infrastructure. Join a team where your code directly enables billions in optimized ad spend across all Amazon Ads products.
We combine rigorous scientific experiments with deterministic and modeled measurement techniques to produce estimates that are fast, precise, and actionable. Using AWS big data and machine learning technologies (EMR, DynamoDB, Spark, Scala), we operate petabyte-scale clusters and continuously innovate on event-driven architectures to stay ahead of rapidly growing scale. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
Key job responsibilities
- Design, build, and operate large-scale distributed systems that process 50B+ daily events for causal ad measurement
- De...