Principal Applied Scientist, Amazon Payments

Amazon Amazon · Big Tech · Seattle, WA · Data Science

Principal Applied Scientist for Amazon Payments AI/ML Team, focusing on AI services for payments, recommendation, prediction, and GenAI for SOP automation. The role involves setting AI direction, mentoring scientists, partnering with engineering to deliver ML/GenAI features, identifying research directions, creating roadmaps, and bringing research to production. Requires a PhD or MSc with 10+ years of experience, a track record of thought leadership, and strong collaboration skills.

What you'd actually do

  1. contributes science and science-related engineering work for Amazon’s Payments Artificial Intelligence services (e.g. Amazon Payments Recommendation, Prediction, GEN AI platform to enable SOP automation and new projects already underway)
  2. identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production
  3. work with teams of talented scientists, and fill the ranks by attracting the best scientists in machine learning, e.g. Amazon payments recommendation and natural language processing for SOP automation
  4. mentor a team of applied scientists
  5. create a strong environment for applied scientists, with a focus on recruiting, retaining and developing top talent

Skills

Required

  • PhD or MSc in computer science or related fields
  • 10 + years in AI and Machine Learning in industry and/or academia
  • Track record of thought leadership and contributions that have advanced the field
  • Strong skills in collaboration and teamwork
  • Strong record of delivery in industry and academic contexts
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Excellent written and verbal communication skills

Nice to have

  • 12+ years in AI, Machine Learning, and Natural Language Processing in industry and/or academia
  • Strong publication history in top publications

What the JD emphasized

  • Track record of thought leadership and contributions that have advanced the field
  • Strong publication history in top publications

Other signals

  • contributes science and science-related engineering work for Amazon’s Payments Artificial Intelligence services
  • leverage Machine Learning and GenAI
  • identify research directions, create roadmaps for forward-looking research
  • work closely with engineering teams to bring research to production
  • attracting the best scientists in machine learning