Amazon Sr Manager Applied Science Healthcare AI 

United States, Washington, Seattle 

267568682

You will lead teams of applied scientists and medical clinicians, working on transformative healthcare solutions powered by cloud computing and artificial intelligence. This role offers an opportunity to work at the forefront of applied AI/ML and distributed systems, building new products and services from the ground up.Key job responsibilities
As a Sr. Manager, Applied Science, you will be responsible for building and leading a world-class team that pushes the boundaries of computer vision, machine learning, and artificial intelligence.In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will balance hands-on technical leadership with people management responsibilities, ensuring your team delivers cutting-edge solutions while growing professionally. The role requires someone who can think strategically about business problems while diving deep into technical details when needed.- Driving innovation in medical administration reasoning systems, AI agent design, and medical codingWork/Life Balance
Mentorship & Career Growth

- PhD in Computer Science, Machine Learning, or related field
- 7+ years in applied research, with 3+ years of people management experience
- Track record of leading successful research projects and delivering business impact
- Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, etc.)
- Experience managing technical teams in computer vision, ML, or AI
- Demonstrated ability to translate complex technical concepts to various audiences
- Experience with research program management and setting technical strategy

- Experience in designing and implementing healthcare AI systems
- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling
- Experience with medical coding, medical NLPs, and medical informatics
- Experience implementing reinforcement learning for autonomous agent behavior
- Experience in professional software development