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Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics

Agilerobotsse • Munich, Bavaria

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The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics, who will design and train deep-learning models for visual servoing in precision robot manipulation. Your model's output steers the robot as it moves, so inference latency and sub-millimetre accuracy both decide whether the task succeeds. <h3>Responsibilities</h3> <ul> <li>Method Development: Develop deep-learning methods for visual servoing and robotic vision, adapting and combining existing methods for new tasks where that requires significant changes.</li> <li>Model Training: Design, train, fine-tune, and evaluate models in PyTorch, including adapting pretrained and foundation models to real robot tasks.</li> <li>Perception Methods: Develop 2D and 3D perception for pose estimation, depth, tracking, and geometric understanding, combining learned, classical, and optimization-based methods where each fits.</li> <li>Closed-Loop Integration: Integrate learned models into closed-loop robot control for high-precision manipulation.</li> <li>Robot Evaluation: Evaluate models on real robots and precision manipulation tasks, analyse failure cases, and improve robustness and generalization.</li> <li>Real-Time Deployment: Build real-time inference pipelines in C++ and Python and optimize models with ONNX, TensorRT, and CUDA to meet the timing of the control loop.</li> </ul> <h3>Essential Skills</h3> <ul> <li>Background: Master's degree or PhD in computer science, robotics, electrical engineering, or a related field, or an equivalent combination of research and industry experience, with three or more years in machine learning, computer vision, or robotics.</li> <li>ML Pipeline: Hands-on experience designing, training, and tuning deep-learning models end to end in PyTorch.</li> <li>Method Development: Experience adapting, combining, or extending existing machine learning or vision…