AI Research Engineer - Robotics

Highlights

• Design RL-based controllers for robots in complex, unstructured environments.
• Own full pipeline from simulation to deployment on real robotic hardware.
• Enable robots to fuse vision and sensory inputs for adaptive control.

What they offer

• Competitive salary and VSOP options
• Relocation support up to €2,500 and 4 weeks temporary accommodation
• Learning allowance of €500/£450 per year
• Health & wellness: gym membership and mental health support
• Regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks for primary caregivers and 6 weeks for secondary caregivers
• Family support: 5 days paid family emergency leave

Ideal candidate

Mission-driven roboticist with hands-on experience taking learned controllers from simulation to real hardware. Passionate about robust autonomy, current research, and applying AI to complex real-world problems.

Requirements

• MSc or PhD in Robotics, Machine Learning, Control Engineering or related field with focus on RL and robot control
• Hands-on experience training and deploying RL-based controllers on real robotic hardware
• Deep familiarity with modern RL for continuous control including model-free, model-based, hierarchical and sim-to-real
• Solid understanding of robot dynamics, kinematics and classical control theory
• Proficient with physics-based simulators such as MuJoCo, Isaac Gym/Lab, PyBullet or Gazebo
• Solid software engineering skills in Python and/or Rust or modern C++ with production deployment experience
• Excellent communication skills and passion for current research