Machine Learning Research Scientist - Medical Science

As a Principal Applied Scientist on our Agentic AI Professional Services Experience team, you will serve as the foremost technical authority and thought leader in the development and deployment of agentic AI systems. This advanced-level scientific position requires exceptional expertise in deep learning, large language models, and AI agent architectures to help build our industry-leading Agentic AI portfolio (models, systems, and applications). You will be responsible for setting the scientific vision, driving innovation, and representing the company's AI capabilities to senior leadership at customer organizations while ensuring our solutions deliver transformative value across enterprise environments. Our mission is to provide a delightful experience to customers by pushing the envelope in NLP/NLU, AI-assisted code development, reasoning and planning with LLMs, LLM training and fine-tuning, and Applied Machine Learning within professional service contexts. As a principal scientist, you will be the bridge between scientific advancement, business strategy, and customer needs. Scientific Leadership Define and drive the scientific vision and roadmap for our Agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems Collaborate with senior scientists across the organization to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into our agent architecture Lead the design and implementation of sophisticated machine learning models for agent decision-making, planning, and reasoning Set technical standards and guide implementation of best practices across the organization Customer & Business Impact Lead high-visibility technical delivery for strategic customers Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes ABOUT AWS: Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience ~8+ years of building models for business application experience ~ Experience programming in Java, C++, Python or related language ~ AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering. Experience building AI systems for enterprise professional services environments Experience leading cross-functional initiatives spanning research, engineering, and product History of successful collaboration with product teams to bring research to market Demonstrated ability to secure resources and support for ambitious project or research agendas 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 Companys 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. #