AI Research Engineer - Robotics

Highlights

• Design, train and deploy RL controllers for robots in unstructured environments
• Own full pipeline from simulation to deployment under tight hardware constraints
• Fuse vision and sensory inputs for robust adaptive robot perception and control

What they offer

• Competitive salary and VSOP options
• Relocation support up to €2,500 and 4 weeks temporary accommodation
• €500/£450 yearly learning allowance
• Health & wellness: gym membership and mental health support via Nilo.health
• Regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers
• Family support: 5 days paid family emergency leave, 100% remote work during pregnancy and phased return to work

Ideal candidate

Mission-driven robotics researcher passionate about real-world autonomy and responsible defence AI. Thrives owning simulation-to-real deployment, iterating on physical hardware and debating technology use openly.

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 PPO, SAC, TD3, model-based and hierarchical RL, sim-to-real and curriculum learning
• Solid understanding of robot dynamics, kinematics and classical control theory including PID, MPC and trajectory optimisation
• Proficiency with physics simulators such as MuJoCo, Isaac Gym/Isaac Lab, PyBullet or Gazebo
• Solid software engineering in Python and/or Rust or modern C++ with production deployment, testing, QA and monitoring experience
• Excellent communication skills with ability to present research findings clearly internally and externally
• Passion for current research and re-implementing and extending state-of-the-art papers