{"id":3980913,"url":"https://alion.io/job/clera-robot-learning-engineer-9","title":"Robot Learning Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ROS","optional":false},{"name":"TensorFlow","optional":false},{"name":"Isaac Sim","optional":true},{"name":"MuJoCo","optional":true},{"name":"PyBullet","optional":true},{"name":"Sim-to-Real","optional":true}],"status":"live","first_seen_at":"2026-11-09T17:14:17Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:42:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an industrial robotics team applying machine learning to real robotic work cells. You will help bring advances in perception and robot learning from research into practical manufacturing applications.\nWhat You'll Do\nResearch and evaluate machine learning models for robot perception and task understanding.\n\nApply computer vision and deep learning to camera, force/torque, and depth sensor data.\n\nExperiment with reinforcement learning and imitation learning for robot control.\n\nIntegrate AI models into a ROS 2 robotics stack.\n\nRun rigorous experiments, analyze results, and iterate on approaches.\n\nConnect research developments with real-world factory deployment.\n\nWhat We're Looking For\nApproximately 0 to 3 years of relevant experience, including practical work through research, a thesis, an internship, or open-source contributions.\n\nA bachelor's or master's degree in robotics, computer science, AI/ML, or a related field, or equivalent practical experience.\n\nProficiency in Python and experience with PyTorch or TensorFlow.\n\nExperience in computer vision or robot learning involving physical robotic systems.\n\nFluent English; German is a plus.\n\nFamiliarity with ROS or ROS 2 is helpful.\n\nExperience with sim-to-real transfer or physics simulators such as Isaac Sim, PyBullet, or MuJoCo is a plus.\n\nFamiliarity with 3D perception, point clouds, or depth estimation is beneficial.\n\nResearch publications or open-source work in robotics or machine learning are valued.\n\nCompensation & Benefits\nEquity participation is available. 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