Agility's humanoid robots are deployed today in manufacturing, distribution, and logistics. Proven automation for industrial environments. Backed by SoftBank VF.
About the role
The Senior Manager, Learning from Demonstration will be a key leader within our cutting-edge humanoid robotics company, bridging the gap between cutting-edge AI/ML research and functional robotic applications. Your mission is to drive research that derisks our product roadmap by solving complex robotics challenges on the one to two year time horizon.
What they're looking for
- Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field
- Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role
- Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications
- Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics
- Proven track record of managing scaling high-performance engineering or research teams
- Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits
More about this role
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
The Senior Manager, Learning from Demonstration will be a key leader within our cutting-edge humanoid robotics company, bridging the gap between cutting-edge AI/ML research and functional robotic applications. Your mission is to drive research that derisks our product roadmap by solving complex robotics challenges on the one to two year time horizon. This will include driving initiatives from concept stage to minimal viable product across domains such as perceptive real-time planning, whole body-control, and learning from demonstration. You will manage a high-performing team of researchers and engineers, fostering a culture of rigorous experimentation, problem based research, failing fast, and extreme ownership.
- Oversee the lifecycle of innovation projects, from initial research and whiteboarding to...
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