[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 · IN, KA, Bengaluru # Senior Applied Scientist, Traffic Quality IN, KA, Bengaluru 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/10488669/senior-applied-scientist-traffic-quality) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, Traffic Quality ## Job description Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces. Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience. Key job responsibilities ### Strategic Leadership & Vision - Define long-term science vision for Traffic Quality driven by advertiser and publisher needs, translating direction into actionable team plans. - Solve strategically important business problems independently, delivering robust, scalable scientific solutions with limited guidance. - Proactively identify technology gaps and business opportunities, determining resource allocation priorities. ### Scientific Innovation & Execution - Design and implement statistical and machine learning solutions to detect robotic and human traffic patterns across billions of daily ad events. - Own full development cycle for production-level code handling billions of ad requests: design, prototype, A/B testing, and deployment. - Stay current with scientific advancements and build publication strategy while championing excellence best practices. - Directly protect hundreds of millions of dollars in advertiser spend annually while maintaining seamless user experience. - Partner with engineers, product managers, and cross-functional teams to solve complex IVT detection problems and influence strategic initiatives. - Mentor scientists on the team. ### About the team Here are a few papers published by the team: 1/ [Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD 2023.]([https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf](https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf)) 2/ [SLIDR: Real-time Robot Detection On Online Ads, IAAI 2023, Deployed Highly Innovative Applications of AI Track (AAAI 2023)]([https://assets.amazon.science/75/2f/3b7106b143f38f7f4d2806388ace/real-time-detection-of-robotic-traffic-in-online-advertising.pdf](https://assets.amazon.science/75/2f/3b7106b143f38f7f4d2806388ace/real-time-detection-of-robotic-traffic-in-online-advertising.pdf)) 3/ [Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers, NeurIPS 2022, First Table Representation Learning Workshop]([https://openreview.net/forum?id=wIIJlmr1Dsk](https://openreview.net/forum?id=wIIJlmr1Dsk)) ## At a glance - Posted by the employer: Jul 30, 2026 - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 11, 2026 - Listed for: 73 days - Location: IN, KA, Bengaluru[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10488669/senior-applied-scientist-traffic-quality) ## More jobs at Amazon ### [Applied Scientist 2, Prime Video & Studios CoreTech](https://jobs.opennash.com/companies/amazon/jobs/3fa7df6b4ed53a00d5e0/) IN, KA, Bengaluru ### [Applied Scientist I, Ads Trust Science](https://jobs.opennash.com/companies/amazon/jobs/e6415b1d4d11931521eb/) IN, KA, Bengaluru ### [Applied Scientist II (AiRES)](https://jobs.opennash.com/companies/amazon/jobs/21c2ae3261a956e0b4c5/) IN, KA, Bengaluru ### [Applied Scientist II, Alexa Ads](https://jobs.opennash.com/companies/amazon/jobs/8446b930bb46b3ce1906/) IN, KA, Bengaluru ### [Applied Scientist II, Amazon Smart Vehicles](https://jobs.opennash.com/companies/amazon/jobs/6da58eddf193d1beb93b/) IN, KA, Bengaluru ## Similar jobs at other companies ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/8a7d91bfa45092bd6f67/) Microsoft · India, Karnataka, Bangalore ### [Snr Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/fb723b61f9446bfef2ac/) Microsoft · Egypt, Cairo ### [Principal Applied Scientist](https://jobs.opennash.com/companies/siemens/jobs/ebc7555c43c701d4e6a1/) Siemens ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/f84d876e664f65488fea/) UnitedHealth Group · Hyderabad, Telangana [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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