Applied Scientist, Sponsored Products jobs in United States
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Amazon · 1 day ago

Applied Scientist, Sponsored Products

Amazon is a leading company in the advertising landscape, particularly through its Sponsored Products and Brands team, which focuses on utilizing generative AI technologies. The role of Applied Scientist involves designing and building intelligent targeting and recommendation agents, collaborating with teams to apply scientific innovations in advertising, and developing advanced machine learning models.

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

Responsibilities

Design and build targeting and 1 click recommendation agents to guide advertisers in conversational and non-conversational experience
Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO)
Collaborate with peers across engineering and product to bring scientific innovations into production
Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications
Develop agentic architectures that integrate planning, tool use, and long-horizon reasoning

Qualification

Machine LearningNatural Language ProcessingGenerative AIReinforcement LearningLarge Language ModelsModel Fine TuningProgramming in PythonTechnical FluencyCollaborationProblem Solving

Required

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application 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 in professional software development
Strong technical fluency in Generative AI
Deep understanding of large language models (LLMs), model fine tuning and prompt engineering
Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output quality)

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