1 day ago
Barcelona, Spain or London, United KingdomSenior
Responsibilities
- Design, train, and deploy reinforcement-learning controllers for autonomous robots in complex real-world environments.
- Own the full workflow from simulation and policy validation to deployment on physical robotic hardware.
- Fuse vision and other sensory inputs to enable robust and adaptive robot control.
- Combine learned approaches with robot dynamics, kinematics, PID, model predictive control, and trajectory optimization.
- Build and use physics-based simulators to train and validate policies.
- Write clean software in Python, Rust, or modern C++ and deploy AI systems to production.
- Test, monitor, and iterate on deployed AI software and robotic policies.
- Re-implement and extend state-of-the-art research and communicate findings internally and externally.
Requirements
- MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.
- Hands-on experience training and deploying reinforcement-learning controllers on real robotic hardware, not only in simulation.
- Deep familiarity with continuous-control reinforcement learning, including PPO, SAC, TD3, model-based RL, hierarchical RL, sim-to-real transfer, domain randomization, and curriculum learning.
- Solid understanding of robot dynamics, kinematics, and classical control theory.
- Proficiency with physics-based robotics simulators such as MuJoCo, Isaac Gym, Isaac Lab, PyBullet, or Gazebo.
- Strong software engineering skills in Python, Rust, or modern C++, including production deployment, testing, QA, and monitoring.
- Excellent communication skills and the ability to present research findings clearly.
- Preferred: PhD and top-tier publications in venues such as CoRL, ICRA, NeurIPS, ICLR, IROS, or RSS.
- Preferred: experience with highly dynamic robotic systems, vision-based perception, low-level motor-control interfaces, real-time embedded constraints, online adaptation, meta-learning, and multimodal sensor fusion.
Benefits
- Competitive salary and VSOP options.
- Relocation support of up to €2,500 and four weeks of temporary accommodation.
- Annual learning allowance of €500/£450.
- Gym membership and mental health support through Nilo.health.
- Regular company events and monthly social allowances.
- Enhanced parental leave of 22 weeks for primary caregivers and six weeks for secondary caregivers.
- Five days of paid family emergency leave, 100% remote work during pregnancy, and phased return to work.
- Additional benefits may vary by location.
About Helsing
Helsing was founded to provide Artificial Intelligence to protect our democracies. Helsing works with partners in governments and across industry. Together, we develop systems that leverage AI and autonomy to provide autonomous mass that is sovereign, scalable and affordable. We’re looking for people with their heart in the right place, who share our conviction that liberal democratic values are worth protecting, for ourselves and for future generations.