Senior Applied Scientist - GenAI, Trust and Store Integrity Science jobs in United States
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Amazon · 2 hours ago

Senior Applied Scientist - GenAI, Trust and Store Integrity Science

Amazon has built a reputation for excellence and is seeking a Senior Applied Scientist to join their Selling Partner Fraud and Abuse Prevention team. The role involves researching and developing innovative machine learning approaches to enhance risk assessment and management, while also mentoring junior scientists and ensuring responsible AI development.

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

Responsibilities

Lead the research, design, and implementation of innovative AI solutions for selling partner risk assessment and management
Drive the technical vision for applying AI to transform workforce operations in Trust and Store Integrity organization
Develop novel approaches to automate and enhance risk analysis processes using state-of-the-art language models
Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation
Mentor and guide junior scientists while fostering a culture of innovation
Design and implement evaluation frameworks to measure the impact of AI solutions
Ensure responsible AI development with focus on fairness, transparency, and ethical considerations

Qualification

Machine LearningGenerative AINatural Language ProcessingComputer VisionJavaPythonC++Deep LearningLarge Scale SystemsInnovationTechnical VisionMentoring

Required

4+ years of applied research experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Deep expertise in computer vision, natural language processing and generative AI technologies

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
Track record of leading large-scale AI transformation projects, and strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP

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