Sr Manager, Applied Science, Just Walk Out

As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazons real-world experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Key job responsibilities
Were 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.

- Building and mentoring a team of Applied Scientists and ML Engineers
- Setting technical direction and research strategy aligned with business goals
- Driving innovation in visual reasoning systems AI agent design and computer vision
- Collaborating with cross-functional teams to translate research into production
- Managing project portfolios and resource allocation

About the team
Just Walk Out (JWO) is a new kind of store with no lines and no checkoutyou just grab and go! Customers simply use the Amazon Go app to enter the store take what they want from our selection of fresh delicious meals and grocery essentials and go!

Our checkout-free shopping experience is made possible by our Just Walk Out Technology which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When youre done shopping you can just leave the store. Shortly after well charge your account and send you a receipt. Check it out at . Designed and custom-built by Amazonians our Just Walk Out Technology uses a variety of technologies including computer vision sensor fusion and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision machine learning distributed systems and hardware design.

About AWS

Diverse 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
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.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196900/year in our lowest geographic market up to $340300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.