Machine Learning Research Scientist - Medical Science

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are redefining the digital video experience at scale. As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for millions of global customers. You will help shape the vision and direction of key ML systems that support Prime Video’s mission to deliver AI-powered customer experiences. You will guide the development of high-impact systems end-to-end—leading innovation from foundational research through production deployment—while mentoring scientists and influencing product and engineering roadmaps. Invent, prototype, and productionize large-scale AI solutions across Prime Video’s personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques; Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction; Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration; Stay ahead of industry trends and emerging research; Publish impactful research internally and externally (e.g. top-tier conferences and journals). About the team Prime Video Personalization and Discovery (PVPD) is dedicated to creating a highly personalized content discovery experience that not only delights our customers but also drives both short- and long-term business goals. Our mission is to automate and enhance customer engagement through personalization, using ML and Generative AI. PhD (or Master’s with 10+ years of applied experience) in machine learning, computer science, statistics, or a related field ~8+ years of experience designing, building, and deploying ML models for real-world business applications at scale ~ Proficiency in Python, Java, or C++, and experience with ML frameworks (e.g., Demonstrated ability to influence technical roadmaps and mentor other scientists and engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site. #