Senior Machine Learning Engineer; m​/f​/d) Computer Vision Robotics

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.

• 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.
• 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-learning models end to end in PyTorch.
• Method Development: Experience adapting, combining, or extending existing machine learning or vision methods for a new task, with changes that required understanding how those methods work internally.
• Computer Vision: Solid understanding of computer vision and 2D/3D geometry.
• Programming: Software development in Python, with working knowledge of C++.

• Robot Control: Understanding of robot kinematics, feedback control, or visual servoing, or experience with high-precision manipulation. The team supports candidates in building this experience on the job.
• Model Deployment: Experience deploying optimized models with ONNX, TensorRT, or comparable frameworks, including on embedded or industrial GPU platforms.
• Robot Learning: Familiarity with reinforcement learning or imitation learning.
• Industrial Cameras: Experience with industrial 2D/3D cameras, lens models, camera calibration, or point clouds.
• Robotics Middleware: Experience with ROS or ROS 2.

A dynamic high-tech company, combined with financial soundness and world‑class investors.

Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.

Lots of development opportunities as we continue to grow.

Challenging tasks and impactful projects alongside experts that enable professional and personal growth.

Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.

Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment

Agile Robots SE is an international high‑tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state‑of‑the‑art force‑moment‑sensing and world‑leading image‑processing technology. This unique combination of technologies allows us to provide user‑friendly and affordable robotic solutions that enable intelligent precision assembly.

This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!

We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.