Staff / Senior Machine Learning Engineer, Reinforcement Learning

Highlights

• Own RL roadmap turning driving data into robust closed-loop behavior.
• Lead learned emergency model for evasive steering and emergency braking.
• Advance post-behavior-cloning optimization with offline and off-policy RL.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on workshop work
• Learning and development budgets for training and conferences
• Comprehensive health, dental, parental leave and pension benefits

Ideal candidate

Senior RL researcher-engineer who owns ambiguous problems end-to-end, pairs rigorous experimentation with clear collaboration, and wants to improve real-world driving safety.

Requirements

• Strong track record developing and validating RL or sequential decision-making methods on complex high-dimensional problems
• Deep understanding of modern RL fundamentals including policy/value learning, off-policy learning and failure modes
• Hands-on experience with behaviour cloning, RL or related methods
• Proficient in Python and PyTorch with reliable ML training and evaluation systems
• Excellent experimental judgement turning ambiguous behavior problems into hypotheses and ablations
• Senior-level ownership and collaboration across research and engineering