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# Machine Learning Engineer, Prime Video Ads CX

- **Company:** Amazon.com, Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Neural Networks, Big Data, Code Review, Computer Programming, Software Design Patterns, Machine Learning, Software Engineering, Information Technology, Build Process, Software Coding, Software Version Control
- **Published:** October 1, 2026
- **Apply:** https://dejobs.org/x/x/45DB72BF9BC945308957CD823571678A/job/

## About the Role

Successful candidates have a solid background in machine learning. They have experience working on big data, and neural network models. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills., * 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
 * 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
 * Experience with video ad serving and ad delivery

## Description

As a MLE-II on the team, you will be responsible for:

 * Collaborating closely with Scientists to develop ML based solutions for Ads Customer Experience on Prime Video.
 * Building solutions to process massive data, scale machine learning models, while defining and optimizing criteria critical to the success of the customer experience
 * Driving cross-team initiatives and leading a team of developers on key initiatives.
 * Mentoring engineers on the team.