Senior AI Research Scientist (Model-based RL)

📋 Description

• Design, implement, and evaluate model-based RL agents (MPC/MPPI) for industrial control.
• Develop learned dynamics and world models with generalization across systems.
• Research safe RL, constrained control, scenario planning, and Bayesian RL for reliable deployment.
• Translate research into production-ready solutions and lead large-scale initiatives.
• Mentor Research Engineers in applying AI methods to industrial challenges.
• Collaborate with researchers, engineers, and partners to industrialize AI ideas.

🎯 Requirements

• PhD in ML, control, CS, or related field, or equivalent RL expertise.
• At least 2 years of post-PhD research experience.
• Deep knowledge in model-based RL, safe RL, planning, world models, or control theory.
• Proven experience building AI agents with simulators and sim-to-real transfer.
• Strong Python skills; experience with PyTorch and SciPy.
• Experience with scalable infra: distributed computing, Ray, Kubernetes, Docker, or GCP.

🎁 Benefits

• Competitive base salary (£87,681 – £165,379) depending on location and experience.
• Eligibility for meaningful equity participation.
• Fully remote work environment with time-zone flexibility.
• Medical, dental, and vision insurance (location dependent).
• Unlimited PTO with a minimum of 20 days per year.
• Remote-first culture with documentation and asynchronous collaboration.