Senior Applied Scientist, Sponsored Products and Brands, Off-Search jobs in United States
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Amazon · 2 days ago

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

Amazon is transforming advertising through generative AI technologies within their Sponsored Products and Brands team. The role involves designing and developing innovative solutions using GenAI and deep learning to enhance personalized shopping experiences and improve ad retrieval and auctions.

Artificial Intelligence (AI)DeliveryE-CommerceRetail
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H1B Sponsor Likelynote

Responsibilities

Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences
Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions
Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts
Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling
Mentor junior scientists and engineers to build a high-performing, collaborative team

Qualification

Generative AILarge Language ModelsMachine LearningDeep LearningJavaC++PythonProbabilistic ModelingOptimizationA/B TestingMentoringCollaborationCommunication

Required

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
Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization

Preferred

Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications
Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale
Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)
Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce
Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives
Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

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
Kleiner 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