About the Role
You will develop deep-learning methods for robotic vision and visual servoing, train and evaluate PyTorch models, and build 2D and 3D perception systems. You will integrate models into closed-loop robot control, test them on real robots, improve robustness, and optimize real-time inference pipelines.
Requirements
•Three or more years of experience in machine learning, computer vision, or robotics
•Experience designing, training, and tuning deep-learning models in PyTorch
•Experience adapting or extending machine learning or vision methods
•Understanding of computer vision and 2D/3D geometry
•Software development experience in Python and working knowledge of C++
Responsibilities
•Develop deep-learning methods for visual servoing and robotic vision
•Design, train, fine-tune, and evaluate PyTorch models
•Develop 2D and 3D perception methods
•Integrate learned models into closed-loop robot control
•Evaluate models on real robots and improve robustness and generalization
•Build and optimize real-time inference pipelines using C++, Python, ONNX, TensorRT, and CUDA
Benefits
•Corporate Benefits Program covering health, mobility, and learning for 100€ net per month
•Modern office facilities with a rooftop terrace
•Free drinks and fruit
•Regular company events
