[Remote] Sr. Applied Scientist, Sponsored Product Off-Search

Note: The job is a remote job and is open to candidates in USA. Amazon is at the forefront of re-inventing advertising experiences through innovative AI technologies. The Sr. Applied Scientist will focus on developing generative AI solutions to enhance personalized advertising across Amazon's platforms, collaborating with cross-functional teams to bring scalable science solutions to life. 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 other 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 • Contribute to the enhancement of 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 Skills • 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 • 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 Benefits • Equity • Sign-on payments • Full range of medical, financial, and/or other benefits Company Overview • Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Amazon has a track record of offering H1B sponsorships, with 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job