Machine Learning Engineer (Closed Loop)

📋 Description

• Role in Simulation to develop world models and planners for closed-loop driving
• Develop efficient generative world-models enabling real-time roll-outs
• Lead end-to-end performance optimisations to cut inference latency
• Mentor junior researchers and shape technical roadmaps

🎯 Requirements

• 4+ years ML research/engineering (generative video/world models)
• Deep diffusion and latent-video model knowledge
• Experience with high-dim temporal data (video, multi-sensor)
• Strong Python and PyTorch fundamentals
• Publications or open-source ML tooling contributions
• Collaborative, fast-paced interdisciplinary work style

🎁 Benefits

• Hybrid office policy in London
• Work with cutting-edge autonomy research
• Access to large driving datasets and infra
• Opportunity to publish and shape the field