Amazon Applied Scientist AWS Just-Walk-Out Science Team 

United States, Washington, Seattle 

869407955

Key job responsibilities
As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.A key focus of this role will be developing and implementing advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time. You'll work on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience programming in Python or related language
- Experience in any of the following: visual reasoning, generative AI, transformers, multi-modal models, object detection and tracking, 3D geometry, numerical optimization, Simultaneous Localization and Mapping (SLAM), time series analysis

- Experience in professional software development
- Experience using Unix/Linux
- 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