Applied Scientist I Amazon Payments Team
Applied Scientist I Amazon Payments Team
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazon Payments build systems that process payments at an unprecedented scale with accuracy speed and missioncritical availability. We process millions of transactions every day worldwide across various payment methods. Over 100 million customers and merchants send hundreds of billions of dollars moving at lightspeed through our systems annually. We are looking for a highly skilled experienced and motivated Applied Scientist to innovate and solve complex scientific optimization challenges at a massive scale.
This Applied Scientist role will design and implement stateoftheart AI optimization models that generate multibillion dollar predictions of the highest level of visibility and importance for Amazons Payments and Customer Experience. The scientist will work on implementing Agentic workflows within production systems that will tremendously improve developer productivity at scale. A successful candidate will be a problem solver who enjoys diving into data is excited by difficult modeling challenges and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
Key job responsibilities
As a Applied Scientist you will:
Drive collaborative research and creative problem solving.
Write productiongrade quality code for deploying machine learning and deep learning modes.
Constructively critique peer research and mentor junior scientists and engineers.
Create experiments and prototype implementations of stateoftheart AI techniques.
Create agentic workflows using GenAI stateoftheart techniques.
Collaborate with engineering teams to design and implement software solutions for science problems.
Contribute to progress of the Amazon and broader research communities by producing publication
Effectively collaborate in a fast paced environment with multiple teams in large organization (software development Project Management Build and Release etc).
About the team
Amazon Payments Machine Learning team leverages data across the payment lifecycle to build ML capabilities to improve paymentoperations success rates for verification authentication authorization settlement refund disbursement etc. The team also leads impactful generative AI initiatives driving reductions in operations an improved developer experience and frictionless client interactions.
Masters 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
Experience building machine learning models or developing algorithms for business application
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Are enrolled in or have completed a PhD in computer science mathematics statistics machine learning or equivalent quantitative field
Experience in solving business problems through machine learning data mining and statistical algorithms
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $129400/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
This Applied Scientist role will design and implement stateoftheart AI optimization models that generate multibillion dollar predictions of the highest level of visibility and importance for Amazons Payments and Customer Experience. The scientist will work on implementing Agentic workflows within production systems that will tremendously improve developer productivity at scale. A successful candidate will be a problem solver who enjoys diving into data is excited by difficult modeling challenges and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
Key job responsibilities
As a Applied Scientist you will:
Drive collaborative research and creative problem solving.
Write productiongrade quality code for deploying machine learning and deep learning modes.
Constructively critique peer research and mentor junior scientists and engineers.
Create experiments and prototype implementations of stateoftheart AI techniques.
Create agentic workflows using GenAI stateoftheart techniques.
Collaborate with engineering teams to design and implement software solutions for science problems.
Contribute to progress of the Amazon and broader research communities by producing publication
Effectively collaborate in a fast paced environment with multiple teams in large organization (software development Project Management Build and Release etc).
About the team
Amazon Payments Machine Learning team leverages data across the payment lifecycle to build ML capabilities to improve paymentoperations success rates for verification authentication authorization settlement refund disbursement etc. The team also leads impactful generative AI initiatives driving reductions in operations an improved developer experience and frictionless client interactions.
Masters 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
Experience building machine learning models or developing algorithms for business application
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Are enrolled in or have completed a PhD in computer science mathematics statistics machine learning or equivalent quantitative field
Experience in solving business problems through machine learning data mining and statistical algorithms
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt 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 $129400/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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