Applied Scientist II, AWS Just-Walk-Out Science Team
About The Position
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. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. 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.
Requirements
- 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 with deep learning libraries such as PyTorch, TensorFlow, MxNet
- Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience with programming languages such as Python, Java, C++
- Experience in any of the following: visual reasoning, generative AI, transformers, multi-modal models, video analysis, action/activity understanding, object detection and tracking, 3D geometry, numerical optimization, Simultaneous Localization and Mapping (SLAM), time series analysis
Nice To Haves
- 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
Responsibilities
- Help solve a variety of technical challenges
- Mentor other scientists
- Tackle challenging, novel situations every day
- Work with multiple technical teams at Amazon in different locations
- Develop and implement advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time
- Design autonomous AI agents that can make intelligent decisions based on visual inputs
- Understand customer behavior patterns
- Adapt to dynamic retail environments
- Perform complex scene understanding
- Reason about object permanence
- Predict customer intentions through visual cues
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
