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

<p><strong>The AI Teams at Agile Robots</strong> are looking for a <strong>Senior</strong> <strong>Machine Learning Engineer (m/f/d) Computer Vision for Robotics</strong>, 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.

Responsabilidades

• 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.
• Model Training: Design, train, fine-tune, and evaluate models in PyTorch, including adapting pretrained and foundation models to real robot tasks.
• 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.
• Closed-Loop Integration: Integrate learned models into closed-loop robot control for high-precision manipulation.
• Robot Evaluation: Evaluate models on real robots and precision manipulation tasks, analyse failure cases, and improve robustness and generalization.
• 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.

Essential

Habilidades

• 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.
• ML Pipeline: Hands-on experience designing, training, and tuning deep-l...