[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Senior Applied Scientist, Amazon Ads US, WA, Seattle Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted July 30, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10488761/senior-applied-scientist-amazon-ads) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, Amazon Ads ## Job description ### Your Next Big Challenge Starts Here You've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people — every single day. At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML. From the moment a brand crafts a campaign to the instant a customer discovers something they love — your science powers it all. Billions of impressions. Millions of clicks. Petabytes of data. And you — at the center of it. ### Why This Role Will Excite You Unmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook — they work at planet scale. Breadth that keeps you sharp. One quarter you might be optimizing real-time bidding systems. The next, you're building creative AI that generates ad content. Ranking, personalization, NLP, computer vision, LLMs — it's all on the table. Your ideas ship. This isn't a research lab where papers collect dust. You'll take models from concept to production, run A/B experiments, and see your work move metrics that matter — for advertisers, customers, and the business. People who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are. ### What You'll Actually Do Research and build next-generation ML solutions — including generative AI and LLM applications — that transform how advertising works ### Own end-to-end projects from messy, ambiguous problems to deployed, production-grade models Design experiments that validate your hypotheses and measure real business impact Build models that balance what's best for customers and advertisers — because great advertising should feel helpful, not intrusive Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster Develop scalable ML pipelines that optimize monetization without sacrificing customer experience ### Where This Takes Your Career Whether you want to go deep as a technical IC or grow into people leadership — both paths are real here. You'll have opportunities to: Lead high-visibility technical initiatives Mentor and grow other scientists ### Shape strategy alongside senior leadership Build a reputation in a community that genuinely values scientific excellence Your work won't just be seen internally — it'll impact millions of customers and advertisers worldwide. Watch Scientists at Amazon Ads Talk About Their Work [https://www.youtube.com/watch?v=vvHsURsIPEA](https://www.youtube.com/watch?v=vvHsURsIPEA) Learn More About Amazon Ads [https://advertising.amazon.com/](https://advertising.amazon.com/) ### Basic Qualifications 5+ years building ML models for real business applications PhD, or Master's degree + 6 years of applied research experience Strong programming skills in Python, Java, C++, or similar Hands-on experience with deep learning and neural network methods ### Preferred Qualifications Experience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy Experience with large-scale distributed systems (Hadoop, Spark, etc.) ## At a glance - Posted by the employer: Jul 30, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 80 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10488761/senior-applied-scientist-amazon-ads) ## More jobs at Amazon ### [2027 Research Science Internship - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/c6b2426e856700039aad/) US, WA, Seattle ### [Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/f0aed8e58d7b1e914fe3/) US, WA, Seattle ### [Applied Scientist, Customer Experience and Business Trends](https://jobs.opennash.com/companies/amazon/jobs/a059390fa595724def2b/) US, WA, Seattle ### [Applied Scientist, Prime Video Personalization and Discovery, Prime Video Personalization & Discovery](https://jobs.opennash.com/companies/amazon/jobs/69664ee35787aa2881d3/) US, WA, Seattle ### [Applied Scientist - GenAI, Trust and Store Integrity Science](https://jobs.opennash.com/companies/amazon/jobs/c1fe2d5f38edbb3047c2/) US, WA, Seattle ## Similar jobs at other companies ### [Principal Applied Scientist-Ads Monetization](https://jobs.opennash.com/companies/microsoft/jobs/1ed023bd5f77158ca20e/) Microsoft · United States, Washington, Redmond, California, Mountain View ### [Senior Applied Scientist - Ads Monetization](https://jobs.opennash.com/companies/microsoft/jobs/71baa9251ca248c59d91/) Microsoft · United States, Washington, Redmond, California, Mountain View ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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