Applied Scientist II, Amazon Payments Team jobs in United States
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Amazon · 17 hours ago

Applied Scientist II, Amazon Payments Team

Amazon is a leading technology company that builds systems for processing payments at a massive scale. The Applied Scientist II role involves designing and implementing AI prediction and optimization models to enhance Amazon's Payments and Customer Experience.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Drive collaborative research and creative problem solving
Develop state of the art AI Agents that reduce operations across Payment teams
Lead research on customizing LLMs to incorporate payment context and reduce latency of LLM invocation, reduce hallucinations and compute while maintaining or increasing accuracy
Write production-grade 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 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)

Qualification

Machine Learning ModelsPredictive ModelingData AnalysisProgramming in PythonAlgorithmsData StructuresNumerical OptimizationParallel ComputingCommunication SkillsCollaborationMentoring

Required

3+ years of building models for business application experience
PhD, or Master's 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

Preferred

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

Benefits

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
Parental leave

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase