4 hours ago
Responsibilities
- Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
- Test first-person perception under camera motion, occlusion, motion blur, and changing lighting.
- Use synthetic and real-world data to identify failure cases and improve model performance.
- Train, evaluate, and debug vision models using PyTorch.
- Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
- Optimize models for low-latency inference and edge deployment.
- Build evaluation tools and support deployments in real factory environments.
Requirements
- Currently study computer science, robotics, electrical engineering, mechanical engineering, or a related field.
- Have hands-on experience in computer vision, machine learning, or robotics.
- Work comfortably with Python.
- Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful.
Benefits
- Visa sponsorship is available.
- Relocation from Germany is supported.
- The role is on-site in San Francisco, California, United States.
Categories
ML EngineeringRobotics