Principal Applied Scientist, Traffic Quality
Principal Applied Scientist, Traffic Quality
Posted on :
28-06-2025
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1 Vacancy
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Job Description
Advertising at Amazon is a rapidly expanding multi-billion dollar business operating across desktop mobile and connected devices. Our reach extends through Amazons platforms and a vast network of third-party publishers worldwide. Traffic Quality is a crucial component of our business where we safeguard advertising integrity by identifying and filtering out invalid and low quality traffic. We achieve this through high scale distributed and big data engineering machine learning and ad forensics.
We are seeking a Principal Applied Scientist to lead the Traffic Quality science strategy focusing on protecting the integrity of our advertising ecosystem by detecting invalid and low quality traffic. You will lead research in machine learning while delivering production-grade solutions that process billions of daily events with near-zero tolerance for errors.
This role can be located in London UK or Bangalore India.
Key job responsibilities
- Drive technical vision and architecture for next-generation invalid and low traffic detection systems
- Pioneer novel approaches in self-supervised learning and unsupervised learning.
- Design scalable ML frameworks that balance sophisticated modeling with sub-millisecond latency.
- Establish scientific standards and review mechanisms across traffic quality teams.
- Mentor scientists and influence ML best practices across Amazon Advertising.
- Partner with research organizations to advance state-of-the-art detection techniques.
- Author technical publications and represent Traffic Quality at leading ML conferences.
- PhD in Computer Science Machine Learning or related technical field
- Broad research experience after a PhD degree
- Deep expertise in deep learning self-supervised and unsupervised learning
- Experience mentoring scientists and driving technical initiatives
- Past experience with with ad fraud detection.
- Familiarity with online advertising systems and infrastructure.
- Track record of solving novel technical problems at massive scale.
- Strong publication history in top-tier ML conferences/journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are seeking a Principal Applied Scientist to lead the Traffic Quality science strategy focusing on protecting the integrity of our advertising ecosystem by detecting invalid and low quality traffic. You will lead research in machine learning while delivering production-grade solutions that process billions of daily events with near-zero tolerance for errors.
This role can be located in London UK or Bangalore India.
Key job responsibilities
- Drive technical vision and architecture for next-generation invalid and low traffic detection systems
- Pioneer novel approaches in self-supervised learning and unsupervised learning.
- Design scalable ML frameworks that balance sophisticated modeling with sub-millisecond latency.
- Establish scientific standards and review mechanisms across traffic quality teams.
- Mentor scientists and influence ML best practices across Amazon Advertising.
- Partner with research organizations to advance state-of-the-art detection techniques.
- Author technical publications and represent Traffic Quality at leading ML conferences.
- PhD in Computer Science Machine Learning or related technical field
- Broad research experience after a PhD degree
- Deep expertise in deep learning self-supervised and unsupervised learning
- Experience mentoring scientists and driving technical initiatives
- Past experience with with ad fraud detection.
- Familiarity with online advertising systems and infrastructure.
- Track record of solving novel technical problems at massive scale.
- Strong publication history in top-tier ML conferences/journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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