Who We AreLea el resumen de esta posibilidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning.Your work will focus on designing, training and deploying RL?based controllers for robots operating in complex, unstructured, and dynamic real?You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real?You Should Apply If YouHold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.on experience training and deploying RL?based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.Are proficient in building and working with physics?MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.Possess solid software engineering skills, writing clean and well?structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.Are passionate about keeping up to date with current research and enjoy re?Note: We operate at an intersection where women, as well as other minority groups,



are systematically under?represented. Nice to HavePhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top?Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.level motor control interfaces and real?Experience with online adaptation and meta?Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure.

We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it.

What We

OfferCompetitive salary and stock options (ESOP)Relocation support: up to €2,500 and 4 weeks temporary accommodationLearning: €500/£450 yearly allowanceHealth & wellness: gym membership and mental health support (Nilo.Health)Social: regular company events and monthly social allowancesEnhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregiversFamily support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to workThese are the core benefits across all locations; Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

📌 Ai Research Engineer - Robotics (Barcelona)
🏢 Helsing
📍 Barcelona