Senior AI Research Scientist (Model-based RL)

• Design, implement, and evaluate model-based reinforcement learning agents, including planning-based controllers (MPC, MPPI), and deploy them on real industrial control systems.
• Develop learned dynamics and world models with training pipelines (pretraining, curriculum learning, active/adversarial learning, fine-tuning) for reliable planning and control.
• Research and implement methods for safe RL, constrained control, scenario planning, and Bayesian RL to ensure safety constraints during deployment.
• Mentor research engineers, define new research directions, and translate research into practical outcomes.

Phaidra's AI-powered control systems reduce energy consumption and improve efficiency in industrial facilities, directly contributing to climate change mitigation by optimizing resource use and reducing waste.

• PhD in a technical field or equivalent practical experience with strong background in model-based reinforcement learning.
• 2+ years of research experience in academia or industry after PhD graduation.
• Extensive research in model-based RL, model-free RL, safe RL, and control theory.
• Hands-on experience building and evaluating agents against simulators and closing sim-to-real gap.

Competitive compensation & meaningful equity; medical, dental, and vision insurance; unlimited paid time off with minimum 20 days; paid parental leave; flexible stipends for workspace, well-being, and professional development; company MacBook; 100% remote work.

Base salary ranges (annual, GBP): Tier 1 £120,276-£165,379; Tier 2 £108,248-£148,841; Tier 3 £97,423-£133,957; Tier 4 £87,681-£120,561.

Phaidra builds AI-powered control systems for the industrial sector, using reinforcement learning to automatically learn and improve over time, enabling industrial facilities to adapt and optimize performance.