Senior AI Research Scientist, Model-based RL

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £84.8k - £132.2k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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This company has sponsored UK Skilled Worker visas in the past.

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Phaidra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

📦 Logistics

🏗️ Construction

Manufacturing • Logistics • Construction

Phaidra is a company providing artificial intelligence controls to optimize mission-critical facilities such as data centers and industrial plants. Their closed-loop AI control service enhances plant stability, energy efficiency, and sustainability by reducing downtime, increasing productivity, and lowering CO2 emissions. Unlike traditional control systems, Phaidra's AI-driven controls continuously learn and improve over time without the need for new hardware. The system provides real-time optimization and integrates with existing control systems, enhancing safety and operational stability while providing full transparency of performance data. Phaidra uses cutting-edge deep reinforcement learning techniques to deliver exceptional results in some of the world's toughest challenges, including significant energy savings in Google's data centers.

📋 Description

• Design, implement, and evaluate model-based reinforcement learning agents, including MPC and MPPI planning-based controllers • Develop software prototypes for deployment on real industrial control systems • Develop learned dynamics and world models that generalize across systems • Build training pipelines involving pretraining, curriculum learning, active/adversarial learning, and fine-tuning • Research and implement safe RL, constrained control, scenario planning, and Bayesian RL methods • Report and present research findings and developments internally and externally, verbally and in writing • Participate in and organize collaborative research projects • Work with external collaborators and partners to translate research into production outcomes • Mentor and guide Research Engineers applying research to industrial domains • Define new research directions, translate research into practical outcomes, and own development and rollout of a research area or large project

🎯 Requirements

• PhD in a technical field or equivalent practical experience • Strong background in model-based reinforcement learning • Knowledge of planning algorithms, world models / learned dynamics surrogates, reinforcement learning and deep learning, control theory, or safe / constrained RL • Either 2+ years of research experience after PhD graduation or 5+ years of research experience after Master’s graduation • Extensive research in Model-Based, Model-Free, and Safe RL and Control Theory, with particular depth in model-based methods • Hands-on experience building and evaluating agents against simulators and closing the sim-to-real gap • Alignment with Phaidra's values: Agency, Velocity, Craft, and Truth • Strong Python and PyTorch skills, including vectorized/differentiable simulators and distributed compute • Proven track record of publications in RL, control, or a related area • Legally authorized to work in the United Kingdom; no employment sponsorship available • Candidates advancing beyond initial screening must sign an NDA

🏖️ Benefits

• 100% remote work • Competitive compensation and meaningful equity • Outsized responsibilities and professional development • Functional, customer immersion, and development training • Medical, dental, and vision insurance (exact benefits vary by region) • Unlimited paid time off, with a required minimum of 20 days per year • Paid parental leave (exact benefits vary by region) • Flexible stipends for workspace, well-being, and continued professional development • Company MacBook • Virtual team-building activities and social events