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Entry-Level Robot Learning Engineer

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Entry-Level Robot Learning Engineer in Others new

  • Munich, Germany

Responsibilities

  • 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 transition robotics research into deployment on industrial hardware.

Requirements

  • Approximately 0 to 3 years of experience.
  • 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.
  • Helpful experience with simulation or sim-to-real transfer using tools such as Isaac Sim, PyBullet, or MuJoCo.
  • Helpful familiarity with 3D perception, point clouds, or depth estimation.
  • Research publications or open-source contributions in robotics or machine learning are valued.
  • Fluent English is required; German is a plus.
  • Must be eligible to work in Germany.

Benefits

  • Equity participation is available.
  • On-site in Munich, Germany, five days per week.
  • Visa sponsorship is not available.

Clera

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