Senior Machine Learning Engineer - Dexterous Manipulation (m/f/d)

About the role

The AI team at Agile Robots is looking for a highly motivated Machine Learning Engineer to develop cutting-edge learning-based dexterous manipulation solutions for robotic hands. If you have experience with robot learning, imitation learning, and/or reinforcement learning, and want to push the boundaries of robotic dexterity, we’d love to hear from you! 

Your Responsibilities

• Develop and implement learning-based dexterous manipulation algorithms, including imitation learning and reinforcement learning.
• Design and conduct experiments in both simulation and real-world robotic environments.
• Collaborate with cross-functional teams to integrate ML models into robotic systems, ensuring high performance and adaptability.
• Develop vision- and sensor-conditioned robot policies.
• Optimize ML pipelines for training, evaluation, and deployment.
• Stay up to date with the latest research and advancements in dexterous manipulation and machine learning.
• Work with diverse robotic sensors, including tactile, force, and vision-based inputs.
• Deploy and test models in real-world environments, with potential travel for on-site implementation.

Essential Skills

• Master’s degree or higher in Computer Science, Robotics, AI, or a related field.
• Minimum of 5 years of professional experience in machine learning and/or robotics.
• Strong experience in machine learning for robotics, particularly deep learning, reinforcement learning, and imitation learning.
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with robotic simulation tools (e.g., MuJoCo, Gazebo, Isaac Sim).
• Strong problem-solving abilities and an eagerness to learn.
• Good verbal and written communication skills in English.

Beneficial Skills

• Hands-on experience working with robotic hands.
• Background in developing and maintaining robot software systems.
• Good understanding of robotic middleware (e.g., ROS) and its integration with ML models.
• Experience with teleoperation or data collection for robotic learning.
• Understanding of sensor integration (tactile, force, depth cameras) for fine-grained control.
• Publications in reputable conferences/journals related to robotics, machine learning, or computer vision.

What we offer

• An opportunity to be part of a dynamic entrepreneurial team that helps to shape the global industrial robotic landscape
• Great working environment in an interdisciplinary, international team
• Ability to gain experience in international projects across different industries 
• Possibility to visit our subsidiary in Beijing
• Career opportunities within an international and fast-growing environment
• Corporate benefits program that covers health, mobility and learning with up to 100 € per month
• As a startup, we of course also have a rooftop terrace, free drinks & fruits, and regular team events