Principal Applied Scientist, Traffic Quality Job ID: 3015500 | Amazon Development Centre (London) Limited
Advertising at Amazon is a rapidly expanding multi-billion dollar business operating across desktop, mobile, and connected devices. Our reach extends through Amazon's 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.
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
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.
BASIC QUALIFICATIONS - 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
PREFERRED QUALIFICATIONS - 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
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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