Principal Applied Scientist, Trusted Supply, Amazon Ads

Overview

As Principal Applied Scientist, you will define the science vision for Brand Safety, Suitability, and Risk Hunting to safeguard advertiser trust. You’ll lead cross-functional programs and shape scalable ML solutions processing billions of impressions daily, driving advertiser confidence and product impact. You’ll mentor a high-performing team, influence industry practices, and translate science into advertiser-facing capabilities that improve transparency and quality.

Responsibilities

• Set multi-year science directions and publication roadmap for Brand Safety, MFA detection, traffic quality, and viewability
• Lead cross-team collaboration between science and engineering to ship low-latency, scalable models
• Act as a thought leader on industry shifts (privacy, adversaries, GenAI threats) and represent Amazon in forums
• Hire, mentor, and grow a high-performing applied science team with a culture of rigor and experimentation
• Partner with engineering leadership to deploy production-grade systems handling billions of requests per day
• Translate scientific capabilities into product improvements (controls, reports, quality guarantees) and quantify business impact

Key requirements

• Ph.D. in Computer Science, Machine Learning, Statistics, or a highly quantitative field
• Experience applying ML to real-world problems at scale in a science leadership role
• Proven track record of leading and growing teams of scientists (5+ individuals)
• Deep expertise in NLP, Computer Vision, or multi-modal learning with production impact
• Top-tier ML/AI publication record (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, etc.)
• Experience with large-scale distributed ML systems processing terabytes of data
• Expert Python and at least one systems language (Java, C++, Scala)

• leadership and mentorship
• strategic thinking
• cross-functional collaboration
• NLP
• Computer Vision
• multimodal learning

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