Staff AI Engineer, Perception
Core
Design and deploy machine learning algorithms for object detection, tracking, and pose estimation to enable humanoid robots to operate safely in warehouses and manufacturing facilities.
Role type
Staff machine learning engineer (robotics perception)
Builds
Perception systems for Agility's commercially deployed humanoid robots
Domain
Robotics, computer vision, logistics automation
Deliverable
production ML models
Required skills
deep convolutional neural networks, multi-object tracking, data association, supervised learning, pose estimation, linear algebra, numerical optimization, computer vision geometry, PyTorch, OpenCV, NumPy, CPU/GPU optimization, MLOps
Preferred skills
YOLO, Faster/Mask R-CNN, 3 or 6 dof pose estimation
Responsibilities
Own architecture and technical roadmap for object perception systems; Design, develop, and deploy ML algorithms for multi-object detection and scene understanding; Evaluate and drive adoption of state-of-the-art perception models; Optimize deep neural networks for efficient execution on embedded systems; Collaborate with navigation, manipulation, and hardware teams
Seniority
Staff, technical lead