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Amazon.com Services LLC

Principal Applied Scientist, Amazon Payments

Seattle, WA, United States

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Job details

Posting language: English
Posted: May 7, 2026

Original job 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.

As a Principal Applied Scientist, you will 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. You will 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. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources. 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
Ability 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 that are not unique to this position, but necessary for Amazon leaders:

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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also 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.

USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually

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More about this job

Skills

Coaching
Research
Natural language processing
Computer science
Machine learning
Leadership
Collaboration
Teamwork
Communication skills
Recruitment
Mental health

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