Sr. Applied Scientist, AWS Just-Walk-Out Science Team
About the role
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s 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 Amazon’s 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. The Team Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you 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 you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at amazon.com/go.
Key job responsibilities
- Develop a novel framework and advance the theory and practice of multi-object tracking, re-identification, person activity understanding, multi-modal foundation model, and generic video understanding
- Create innovative techniques for efficient visual processing that can scale to real-world applications
- Investigate approaches to reduce the computational and data requirements of visual AI systems
About The Team
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's 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 Amazon's 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.
Basic Qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on multi-object tracking, re-identification, human activity understanding, or multi-modal LLMs
- Strong background in computer vision, deep learning, and multi-modal foundation models
- Experience with PyTorch or other deep learning frameworks
- Demonstrated ability to transform research ideas into practical implementations
Preferred Qualifications
- Knowledge of modern visual-language models and multi-modal AI systems
- Experience with large-scale model training and optimization
- Contributions to open-source AI projects or research frameworks
- Experience mentoring junior researchers and collaborating with engineering teams
- Strong track record of turning research breakthroughs into practical applications