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Applied Scientist I , Amazon Payments Team
Amazon
H1B ✓On-siteentry levelPosted April 20, 2026
About the Role
The Applied Scientist will design and develop end-to-end systems, creating technical roadmaps and driving production-level projects. They will collaborate with cross-functional teams to deploy AI solutions that automate workflows and improve payment interactions.
Requirements
Candidates must hold a Master's degree or PhD in a quantitative field such as computer science, mathematics, or statistics. Proficiency in programming languages like Java, C++, or Python and experience with SQL and database management are required.
Full Job Description
Are you a Master's/PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit https://www.amazon.science.
About the team
PayStation Intelligence (Pi) is the sole Applied Science team in Amazon Payments, with a vision to ensure every payment interaction across Amazon - whether a subscription renewal, a customer support query, or an on-call investigation - is predicted, protected, and resolved autonomously through ML and agentic AI, eliminating payment-related customer friction before it occurs and operational toil after it does. Pi team owns problem formulation, feature engineering, model development, experimentation, evaluation, and production model monitoring for the AI solutions it works on across the entire Amazon Payments organization and its business clients. The team's solutions extend beyond Global Payments Tech teams of Payments Processing and Standin, to serving Amazon Payments clients of Amazon Pay and business clients including Prime, Prime Video, and customer-facing AI assistants like Rufus. Pi operates across GenAI (Generative Artificial Intelligence) - LLM and agentic AI capabilities that automate operational workflows, accelerate developer experiences, and enable frictionless payment interactions for end customers through solutions like PayStation Ada and Rufus's Payments Domain Agent. Basic Qualifications: - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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.
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit https://www.amazon.science.
About the team
PayStation Intelligence (Pi) is the sole Applied Science team in Amazon Payments, with a vision to ensure every payment interaction across Amazon - whether a subscription renewal, a customer support query, or an on-call investigation - is predicted, protected, and resolved autonomously through ML and agentic AI, eliminating payment-related customer friction before it occurs and operational toil after it does. Pi team owns problem formulation, feature engineering, model development, experimentation, evaluation, and production model monitoring for the AI solutions it works on across the entire Amazon Payments organization and its business clients. The team's solutions extend beyond Global Payments Tech teams of Payments Processing and Standin, to serving Amazon Payments clients of Amazon Pay and business clients including Prime, Prime Video, and customer-facing AI assistants like Rufus. Pi operates across GenAI (Generative Artificial Intelligence) - LLM and agentic AI capabilities that automate operational workflows, accelerate developer experiences, and enable frictionless payment interactions for end customers through solutions like PayStation Ada and Rufus's Payments Domain Agent. Basic Qualifications: - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 - 136,000.00 - 184,000.00 USD annually