- Robot type
- Warehouse and Logistics
- Location
- SeattleWashingtonUSA
- Job type
- Business Operations
- Posted
- Apr 28, 2026
Applied Science Manager - Match & Affordances, Amazon Robotics
Job description
Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and deploy machine learning, optimization algorithms, and geometric reasoning models that empower robots to identify the best available placement opportunities, learn effective stow strategies, and continuously improve capacity utilization.
We are seeking an experienced Applied Science Manager for Match and Affordances team to lead a…
Job requirements
- PhD, or Master's degree and 4+ years of industry or academic research experience
- 6+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- Experience building machine learning models or developing algorithms for business application
- 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
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing,…
- Experience hiring and growing top talent
- Experience in representation learning, and reinforcement learning in robotics systems.
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