Applied Scientist

If applying reinforcement learning to real physical systems excites you — not toy problems, not simulations, but live operational environments — this is a standout role.

A fast‑growing AI company is looking for an Applied Scientist to design, train and harden RL agents end‑to‑end: from problem formulation and reward design through to federated deployment and on‑site inference. You’ll work at the intersection of ML, physics and engineering , reasoning about thermodynamics and equipment behaviour just as much as architectures and training dynamics.

What you’ll be doing

• Design + train RL agents for real‑world control
• Turn messy telemetry into ML- ready problems
• Validate behaviour against physical principles
• Productionise models — federated training, on‑site inference, monitoring
• Support research + academic work

What you bring

• Strong RL exper...