ADCI
Advertising Technology
AppliedScientist,TrafficQuality
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Traffic Quality at ADCI. Skills: Machine learning, Deep learning, Fraud detection. Define research problems. Invent machine learning approaches”
What You'll Achieve.
Protect advertiser spend; Maintain seamless user experience
Industry & Context.
Solve hard problems
What They're Looking For.
Must Have
3+ years model building experience, Master's degree and 4+ years experience, PhD or Master's degree, Experience in patents or publications, Experience solving business problems, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
2+ years predictive modeling experience, 2+ years large data analysis experience, 2+ years designing experiments experience, 2+ years statistical analysis experience
What You'll Do.
Define research problems
Invent machine learning approaches
Adapt machine learning models
Adapt machine learning algorithms
Design production-quality ML components
Deploy production-quality ML components
Apply domain knowledge
Perform data analysis
Build business insights
Work with unstructured datasets
Work with massive datasets
Produce research reports
Contribute to scientific community
Review research submissions
Mentor junior scientists
Develop junior scientists
How You'll Work.
Communication Scope
Publication; Reviewing research
Full 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 As an Applied Scientist II in Traffic Quality, you will solve inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning, and advanced clustering. You'll work on systems that process billions of ad impressions and clicks per day, using Amazon's cloud services including EC2, S3, EMR, Sagemaker, and RedShift. - Define and frame new research problems in fraud detection where neit
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