# Principal Applied Scientist, Trusted Supply, Amazon Ads

Source: https://realanalystjobs.com/job/principal-applied-scientist-trusted-supply-amazon-ads-amazon-52792ddf
Principal Applied Scientist, Trusted Supply, Amazon Ads at Amazon, an on-site role based in London, UK. Posted on 24 August 2026, read from Amazon's own careers page (Amazon), which RealAnalystJobs re-checks daily and removes the role when it closes. Amazon is on the Home Office register of licensed visa sponsors.

Updated 15 November 2026.

## Key facts

- Company: [Amazon](https://realanalystjobs.com/companies/amazon)
- Location: London, UK
- Work mode: On-site
- Posted: Aug 24, 2026
- Employment type: Full time
- Source: Amazon's careers page (Amazon), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python)

## Visa sponsorship

The posting does not say.

Amazon had H-1B petitions approved for 12,010 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amazon#h1b-record)

Licensed UK sponsor. Licensed by the Home Office to sponsor Skilled Worker visas (register of 27 Oct 2026). A licence means the employer can sponsor; it does not mean every role will be sponsored. Listed as Amazon UK Services Ltd (London).

## About this role

Amazon Advertising is a fast-growing multi-billion dollar business that spans desktop, mobile, and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across US, EU, and an expanding number of international geographies.

The Trusted Supply organization has the charter to safeguard advertiser trust and ensure high-quality ad impressions across all Amazon Advertising surfaces. We develop advanced algorithms and infrastructure systems to protect advertisers from unsafe content adjacency, low-quality inventory, fraud and privacy threats. Our scope spans a wide variety of problems in computational advertising including brand safety classification, content suitability scoring, risk hunting and proactive threat detection, viewability prediction, Made-for-Advertising (MFA) detection, malvertising identification, and privacy-preserving measurement and integration.

We are looking for an exceptional Principal Applied Scientist to define and drive the science vision across Brand Safety, Suitability, and Risk Hunting as primary areas of focus, while contributing to broader Supply Quality challenges around viewability, privacy-preserving solutions, and data leakage prevention. This is a high-visibility leadership role where your models and systems will process billions of ad impressions daily, directly impacting advertiser confidence, customer experience, and a multi-billion dollar business.

Key job responsibilities
Set the science vision - defining multi-year research directions, establishing the publication roadmap, and driving innovations

Operate across programs - influence modeling frameworks across brand safety, MFA detection, traffic quality, viewability, and 3P integrations; break down silos between science and engineering teams

Act as a thought leader - anticipate industry shifts (privacy regulations, adversarial evolution, GenAI-powered threats), propose counter-strategies before they become critical, and represent Amazon in industry forums (TAG, MRC, IAB)

Hire, mentor, and grow a high-performing team of applied scientists and research engineers; establish a culture of scientific rigor, peer-reviewed publications, and rapid experimentation

Partner with engineering leaders to build efficient, scalable, low-latency production systems that serve models at billions-of-requests-per-day scale

Influence product and business strategy - translate science capabilities into advertiser-facing products (targeting controls, transparency reports, quality guarantees) and quantify business impact

Basic qualifications
Ph.D. in Computer Science, Machine Learning, Statistics, or a highly quantitative field

Experience applying machine learning to real-world problems at scale, with multiple years in a science leadership capacity

Proven track record of leading, mentoring, and growing teams of scientists (5+ scientists)

Deep expertise in NLP, Computer Vision, or multi-modal learning with demonstrated impact in production systems

Strong publication record in top-tier ML/AI conferences (NeurIPS, ICML, KDD, WWW, ACL, EMNLP, CVPR, or equivalent)

Experience with large-scale distributed ML systems processing terabytes of data

Expert-level proficiency in Python and at least one systems language (Java, C++, Scala)

Demonstrated ability to translate ambiguous business problems into well-defined science initiatives with measurable outcomes

Preferred qualifications
Experience with GenAI/LLM-based classification systems at production scale

Experience in computational advertising, ad tech, content moderation, trust & safety, or fraud/abuse detection

Expertise in adversarial machine learning, anomaly detection, or security-oriented ML applications

Familiarity with industry standards: MRC accreditation, TAG certification, brand safety frameworks, IAB content taxonomy

Experience with privacy-preserving ML techniques (federated learning, differential privacy, on-device inference)

Track record of defining org-level research practices and shipping 0-to-1 science products

Experience with real-time inference systems operating at low latency ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Description from Amazon's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/principal-applied-scientist-trusted-supply-amazon-ads-amazon-52792ddf) and use Apply now there to reach the employer's application. The listing is re-checked against Amazon's careers page daily and removed when it closes.

## Amazon

583 open analyst roles on Real Analyst Jobs. [More roles at Amazon](https://realanalystjobs.com/companies/amazon)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/principal-applied-scientist-trusted-supply-amazon-ads-amazon-52792ddf)
- [Amazon on Real Analyst Jobs](https://realanalystjobs.com/companies/amazon)
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