ADCI

Advertising Technology

AppliedScientist,TrafficQuality

₹25–45L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Advertising Technology
Problems you'll solve

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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