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Sr. Applied Scientist, Sponsored Product Off-Search
4 days ago
Sr. Applied Scientist, Sponsored Product Off-Search Job ID: 3120815 | Amazon.com Services LLC The Sponsored Products and Brands (SPB) team at Amazon Ads is re‑imagining the advertising landscape through state‑of‑the‑art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of reinventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle—from ad creation and optimization to performance analysis and customer insights. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us to shape the future of advertising. Key responsibilities: Contribute to the design and development of GenAI, deep learning, multi‑objective optimization, and/or reinforcement‑learning empowered solutions to transform ad retrieval, auctions, whole‑page relevance, and/or bespoke shopping experiences. Collaborate cross‑functionally with scientists, engineers, and product managers to bring scalable, production‑ready science solutions to life. Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. Enhance the team’s scientific and technical rigor by identifying and implementing best‑in‑class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. Mentor and grow junior scientists and engineers, cultivating a high‑performing, collaborative, and intellectually curious team. A day in the life: As an Applied Scientist on the Sponsored Products and Brands Off‑Search team, you will contribute to the development of Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole‑page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. About the team: The Off‑Search team within Sponsored Products and Brands (SPB) focuses on building delightful ad experiences across various surfaces beyond Search—such as product detail pages, the homepage, and store‑in‑store pages—to drive monetization. Our vision is to deliver highly personalized, context‑aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event‑driven moments, and integrates seamlessly with organic recommendations. Basic Qualifications PhD, or Master’s degree and 6+ years of applied research experience. 3+ years of building machine‑learning models for business application 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. Experience developing and deploying models in real‑world production environments. Preferred Qualifications Proven expertise in Generative AI, foundation models, LLMs, and/or fine‑tuning and customization for downstream tasks. Hands‑on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. Deep understanding of multi‑modal modeling, few‑shot learning, retrieval‑augmented generation (RAG), or reinforcement learning from human feedback (RLHF). Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e‑commerce. Demonstrated ability to communicate complex technical topics clearly to both technical and non‑technical audiences. Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Compensation reflects the cost of labor across several U.S. geographic markets. Pay ranges from $150,400/year to $260,000/year plus equity, sign‑on payments, and other benefits. For more information, visit Amazon benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: October 31, 2025 (Updated about 2 hours ago) #J-18808-Ljbffr
