[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · Seattle, WA # Machine Learning Engineer US, WA, Seattle Data & Analytics Listed on Amazon’s official careers site. Posted November 6, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10595562/machine-learning-engineer) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Machine Learning Engineer ## Job 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. ### Key job responsibilities - 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 ### About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. ## At a glance - Posted by the employer: Nov 6, 2026 - First seen by OpenNash: Nov 8, 2026 - Last checked: Nov 8, 2026 - Listed for: 2 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10595562/machine-learning-engineer) ## Hiring at Amazon - Open jobs: 21,930 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Machine Learning Engineer II, Amazon Music - MusicIQ](https://jobs.opennash.com/companies/amazon/jobs/df6552ada66acd39db34/) US, WA, Seattle ### [Machine Learning Engineer, AWS Analytics Engineering](https://jobs.opennash.com/companies/amazon/jobs/c2215e33b7639fb7ca13/) US, WA, Seattle ### [Machine Learning Engineer, Advertising & Marketing Performance Intelligence](https://jobs.opennash.com/companies/amazon/jobs/1890a48446b62e622e8f/) US, WA, Seattle ### [Machine Learning Engineer, Prime Video Ads CX](https://jobs.opennash.com/companies/amazon/jobs/4f27eec0e0df1be263e2/) US, WA, Seattle ### [Mechanical Engineer, Data Center Engineering](https://jobs.opennash.com/companies/amazon/jobs/7fa7cd4d101b1b17edc1/) US, WA, Seattle ## Similar jobs at other companies ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Machine Learning Engineer](https://jobs.opennash.com/companies/dollar-general/jobs/fadba3c928595a81c52b/) Dollar General · TN, United States ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/cvs-health/jobs/6997911d5e1c02b976f9/) CVS Health · New York, NY ### [A/AI Machine Learning Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/653cd776436867ec18c7/) Lockheed Martin · Manassas, VA ### [2027 Machine Learning Center of Excellence - Time Series and Reinforcement Learning (TSRL) - Summer Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/e8369f6e0264be624408/) JPMorganChase · New York, NY, United States [Jobs in Seattle, WA](/locations/us/wa/seattle/)[Jobs in Washington](/locations/us-wa/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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