Machine Learning Engineer (f/m/d)

ppbHexagon Robotics /b is a division of Hexagon – a global leader in precision measurement. The division develops humanoid robots for industrial sectors to address labor shortages and accelerate the transition from automation to autonomy. Our first humanoid, AEON, was launched in June 2025 and is already in pilots with five customers. /ppWe are looking for a Machine Learning Engineer to develop and improve learning-based behaviors for our humanoid robots.

You will work primarily on reinforcement learning (RL) and imitation learning (IL), training and iterating on policies, analyzing experiments, and addressing the gap between simulation and real-world robot performance. /ph3Your Mission /h3pDevelop, train, and iterate on reinforcement learning policies for humanoid locomotion and manipulation /ppAnalyze training metrics and experiment results from simulation and real robots, identify issues, and propose follow-up actions /ppInvestigate sim-to-real gaps and develop approaches to improve the transfer of learned policies to real robots /ppDevelop machine learning solutions in Python using frameworks such as PyTorch, TensorFlow, or JAX /ppBuild and maintain RL/IL training pipelines, including environments, curricula, normalization, and evaluation /ppEvaluate learning algorithms and adapt them to the specific problem at hand, with support from

experienced team members /ppWork collaboratively in a multicultural and interdisciplinary environment on a novel humanoid robot /ppProactively identify opportunities for improvement and contribute ideas to the team /ph3Your Skillset /h3pbWhat we are looking for /b /pulliPhD/MSc in Robotics, Computer Science, or a related technical field /liliPython programming skills and experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX /liliAbility to independently write and debug basic C++ code /liliHands-on experience developing and training reinforcement learning policies.

Experience with imitation learning or related learning-based methods is a plus /liliAbility to interpret training metrics and experimental results and use them to guide the next iteration /liliUnderstanding of sim-to-real challenges in robotics and approaches to address them /liliAutonomous and proactive working style, with a strong drive to experiment, learn, and solve problem /li /ulpbNice to have /b /pulliExperience working with real robots /liliExperience with modern RL/IL/ML approaches, such as transformers or cross-embodiment transfer learning /liliExperience with Isaac Sim or other standard RL simulators /liliExperience working independently with ROS2, including writing nodes and debugging interactions between them /liliExperience defining objectives for your work and integrating them into a broader team plan or owning an epic /li /ulh3What You’ll Get /h3ulliFlexible working hours

and a hybrid model for real work-life balance /liliCHF 500 mobility credit for sustainable commuting /liliBonus system strong pension contributions /liliTailored training development opportunities /liliRelocation support for a smooth start /liliDiscounts on health, mobility entertainment /liliTeam events and a flat hierarchy where your voice counts /liliA warm, international culture built on respect and collaboration /li /ulpbHexagon Robotics /b is a division of Hexagon – a global leader in precision measurement. The division develops humanoid robots for industrial sectors to address labor shortages and accelerate the transition from automation to autonomy. Our first humanoid, AEON, was launched in June 2025 and is already in pilots with five customers. /ppWe are looking for a Machine Learning Engineer to develop and improve learning-based behaviors for our humanoid robots.

You will work primarily on reinforcement learning (RL) and imitation learning (IL), training and iterating on policies, analyzing experiments, and addressing the gap between simulation and real-world robot performance. /ph3Your Mission /h3pDevelop, train, and iterate on reinforcement learning policies for humanoid locomotion and manipulation /ppAnalyze training metrics and experiment results from simulation and real robots, identify issues, and propose follow-up actions /ppInvestigate sim-to-real gaps and develop approaches to improve the transfer of learned policies to real robots /ppDevelop machine learning solutions in Python using frameworks such as PyTorch, TensorFlow, or JAX /ppBuild and maintain RL/IL training pipelines, including environments, curricula, normalization, and evaluation /ppEvaluate learning algorithms and adapt them to the specific problem at hand, with support from

experienced team members /ppWork collaboratively in a multicultural and interdisciplinary environment on a novel humanoid robot /ppProactively identify opportunities for improvement and contribute ideas to the team /ph3Your Skillset /h3pbWhat we are looking for /b /pulliPhD/MSc in Robotics, Computer Science, or a related technical field /liliPython programming skills and experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX /liliAbility to independently write and debug basic C++ code /liliHands-on experience developing and training reinforcement learning policies.

Experience with imitation learning or related learning-based methods is a plus /liliAbility to interpret training metrics and experimental results and use them to guide the next iteration /liliUnderstanding of sim-to-real challenges in robotics and approaches to address them /liliAutonomous and proactive working style, with a strong drive to experiment, learn, and solve problem /li /ulpbNice to have /b /pulliExperience working with real robots /liliExperience with modern RL/IL/ML approaches, such as transformers or cross-embodiment transfer learning /liliExperience with Isaac Sim or other standard RL simulators /liliExperience working independently with ROS2, including writing nodes and debugging interactions between them /liliExperience defining objectives for your work and integrating them into a broader team plan or owning an epic /li /ulh3What You’ll Get /h3ulliFlexible working hours

and a hybrid model for real work-life balance /liliCHF 500 mobility credit for sustainable commuting /liliBonus system strong pension contributions /liliTailored training development opportunities /liliRelocation support for a smooth start /liliDiscounts on health, mobility entertainment /liliTeam events and a flat hierarchy where your voice counts /liliA warm, international culture built on respect and collaboration /li /ulh3Contact /h3h3Great robots need great people. /h3pContact /ppSilvia Dadin /p /p