Amazon Principal Applied Scientist Traffic Quality 

United Kingdom, England, London 

358725990

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.
- 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