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# Machine Learning Engineer, Ad Response Prediction

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $158,100 - $213,800
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Design Patterns, Perl (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Multithreading, Information Technology, Build Process, Machine Learning Operations, Software Coding, Software Version Control
- **Published:** November 13, 2026
- **Apply:** https://dejobs.org/x/x/1EE2FC8CD94F4DE99CC20C635B56D6BC/job/

## About the Role

* 3+ years of non-internship professional software development experience
 * 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 * 1+ years of software development engineer or related occupational experience
 * 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 * 1+ years of Object Oriented Design experience
 * Experience programming with at least one software programming language, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 * Bachelor's degree in computer science or equivalent

## Description

Build the machine learning pipelines and online serving systems that match shoppers with advertised products across one of the world's largest product catalogs, with a high relevance bar and strict latency limits. Your work will directly shape the ads hundreds of millions of customers see in Amazon search results and on detail pages around the world.

You'll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. You'll deliver solutions end to end, then run them to the operational standards needed for services that are always on and used around the globe., * Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits

 * Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production
 * Deliver ML features end to end: system design, implementation, testing, deployment and operations
 * Identify problems, propose solutions and use performance metrics to track system health and model quality
 * Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers
 * Work with Product, UX, QA and other engineers to build the right product for customers
 * Mentor peers and share technical knowledge through design and code reviews