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Jobs · Education · Washington

Principal Applied Scientist, Amazon Payments

Amazon · Seattle, WA · 3 wk ago
EducationFull-time

Basic Qualifications

  • 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
  • Able to handle multiple competing priorities in a fast-paced environment
  • Excellent written and verbal communication skills

Preferred Qualifications

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

Professional Traits

  • Exhibits excellent judgment
  • Hires and develops great people
  • Has relentlessly high standards (is never satisfied with the status quo)
  • Is able to dive deep and is never out of touch with the details of the business or the technology
  • Expects and requires innovation of her/his team
  • Has the innate ability to inspire passion in others
  • Strong results orientation
  • Thinks big

Description

We are looking for a Principal Applied Scientist for Amazon Payments AI/ML Team, which 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). In this role, you will work with your peers and senior management to set the direction for Amazon’s AI efforts. Our mission is to put the power of AI in the hands of every developer. You will be responsible for mentoring a team of applied scientists. You will be responsible for creating a strong environment for applied scientists, with a focus on recruiting, retaining and developing top talent. You will partner with engineering leaders to deliver remarkable new Amazon Payments services and features that leverage Machine Learning and GenAI.

Qualifications

Basic Qualifications:

  • 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
  • Able to handle multiple competing priorities in a fast-paced environment
  • Excellent written and verbal communication skills

Preferred Qualifications:

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

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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