Principal Applied Scientist, Amazon Payments

Amazon; Seattle (WA); On-site; USD 179,000 - 310,000; Full time

Job summary

Amazon is seeking a Principal Applied Scientist to lead innovative AI/ML projects in Payments. The role involves mentoring, driving research initiatives, and working closely with teams to enhance Amazon’s AI capabilities. Applicants should have extensive experience in AI, Machine Learning, and Natural Language Processing, with a strong emphasis on collaboration and delivery of results.

Benefits

Equity opportunities

Medical benefits

Financial benefits

Flexible workplace accommodation

Qualifications

• 10+ years of experience in AI and Machine Learning.
• Strong publication history in top publications.
• Ability to handle multiple priorities in a fast-paced environment.

Responsibilities

• Lead research directions and create roadmaps for AI initiatives.
• Mentor a team of applied scientists and deliver innovative solutions.
• Collaborate with engineering teams to bring research to production.

Skills

Collaboration

Teamwork

Communication

Problem Solving

Education

PhD or MSc in Computer Science or Related Fields

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 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 science in order to recruit, retain and develop 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.PhD or MSc in computer science or related fields.
10+ years of experience 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.PhD or MSc in computer science or related fields.
12+ years of experience 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 passion and convictions and 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.