[Remote] Applied Scientist, Personalization, Personalization

Note: The job is a remote job and is open to candidates in USA. Amazon Science is seeking an Applied Scientist to help build next-generation customer memory and personalization systems. The role involves designing and building machine learning and large language model-powered solutions to enhance customer experiences by understanding and remembering customer behavior over time.ResponsibilitiesDesign and build ML and LLM-powered solutions for Amazon's customer memory and personalization systemsOwn the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scaleDeliver high-quality, scalable systems that power customer-facing experiencesDrive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverageCollaborate closely with engineering and product teams to translate research into measurable customer impactSkillsKnowledge of programming languages such as C/C++, Python, Java or PerlExperience in patents or publications at top-tier peer-reviewed conferences or journalsPhD, or a Master's degree and experience in CS, CE, ML or related field researchStrong communication and collaboration skillsExperience in building and launching deep learning and machine learning models for business applicationsSolid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.)Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithmsPublications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etcCompany OverviewAmazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. It was founded in 2020, and is headquartered in Seattle, Washington, US, with a workforce of 10001+ employees. Its website is https://www.amazon.science.Company H1B SponsorshipAmazon Science has a track record of offering H1B sponsorships, with 3262 in 2026, 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.