drjobs Applied Scientist II, Amazon Payments Team

Applied Scientist II, Amazon Payments Team

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1 Vacancy
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Job Location drjobs

Seattle - USA

Yearly Salary drjobs

$ 136000 - 223400

Vacancy

1 Vacancy

Job Description

Amazon Payments build systems that process payments at an unprecedented scale with accuracy speed and mission-critical 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 light-speed 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 state-of-the-art AI prediction forecasting and optimization models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazons Payments and Customer Experience. 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 production-grade quality code for deploying machine learning and deep learning modes.
- Create prediction models at scale for multiple business units within Amazon.
- Constructively critique peer research and mentor junior scientists and engineers.
- Create experiments and prototype implementations of state-of-the-art AI 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 payment-operations 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 friction-less client interactions.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- 3 years of hands-on predictive modeling and large data analysis experience
- 3 years of building machine learning models or developing algorithms for business application experience

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 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 $136000/year in our lowest geographic market up to $223400/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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

Employment Type

Full-Time

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