Amazon Sr Manager Applied Science Walk 

United States, Washington, Seattle 

828330572

Key job responsibilities
We're looking for a Sr. Manager, Applied Science to lead a team of Applied Scientists and Machine Learning Engineers in our Just Walk Out Technology organization. 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 visual reasoning systems, AI agent design, and computer vision
About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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 visual reasoning systems that can understand and interpret complex spatial relationships
- Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling
- Experience with advanced computer vision techniques including scene graph generation, visual relationship detection, and spatial reasoning
- Knowledge of modern visual-language models and multi-modal AI systems
- Experience implementing reinforcement learning for autonomous agent behavior
- Experience in professional software development