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
