Why This Role Stands Out
You'll gain hands-on experience applying cutting-edge machine learning to real-world industrial robotics challenges, with clear pathways for career growth within a reputable company. This role is perfect for motivated individuals with a passion for robotics and AI, eager to contribute to innovative manufacturing solutions and develop valuable skills. Apply now to be part of a dynamic engineering team pushing the boundaries of automation.
Quick Overview
Job Description
About the Role
Join an industrial robotics team applying machine learning to challenging manufacturing tasks. You will develop and evaluate robot learning approaches, then help bring them from research into real-world factory deployment.
What You'll Do
Research and evaluate machine learning models for robot perception and task understanding.
Apply computer vision and deep learning to camera, force and torque, and depth sensor data.
Experiment with reinforcement learning and imitation learning for robot control.
Integrate AI models into a ROS 2 robotics stack.
Run experiments, analyze results, and iterate on approaches.
Help bridge robotics research with deployment on industrial hardware.
What We're Looking For
Approximately 0 to 3 years of experience, with a bachelor's or master's degree in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.
Proficiency in Python and experience with a deep learning framework such as PyTorch or TensorFlow.
Exposure to computer vision or robot learning.
Familiarity with ROS or ROS 2 is helpful.
Experience with simulation or sim-to-real transfer, such as Isaac Sim, PyBullet, or MuJoCo, is helpful.
Familiarity with 3D perception, point clouds, or depth estimation is helpful. Research publications or open-source contributions in robotics or machine learning are also valued.
Fluent English is required; German is a plus.
Must be eligible to work in Germany and able to work on-site in Munich five days per week.
Compensation & Benefits
Equity participation is available. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany, five days per week.