Job Description
Job Title: Lead Vision Language Action
Location: London, UK
Salary: $100K
This company is pioneering the development of the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Their first humanoid platform, HMND 01, is a next-generation labour automation unit designed to deliver highly efficient services across multiple domains, starting with industrial applications.
What You’ll Do
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Define and execute the strategy for representation learning, behaviour cloning, and reinforcement learning (RL).
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Lead large-scale post-training of multi-modal LLM / VLM / VLA systems, integrating new sensor modalities such as vision, audio, proprioception, LiDAR, and point clouds.
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Build continuous pipelines that gather simulation and tele-operation logs, maintain a versioned data lake, transform and label data streams with weak supervision, curate balanced datasets, and run evaluation loops that feed new failure cases back into training.
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Collaborate with MLOps and Data Platform teams to scale distributed training and optimise models for real-time edge deployment.
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Recruit, mentor, and support a small, high-performing team of research scientists and engineers.
We’re Looking For
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6+ years of experience building deep-learning systems, with 2+ years in technical leadership roles.
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Hands-on expertise with LLM / VLM architecture design, billion-parameter training, and fine-tuning.
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Strong background in robotics, autonomous driving, or large language models, with applied experience in behaviour cloning, actor–critic methods, or offline RL.
Nice to Have
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Deployment experience on humanoid or legged robots.
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Proven record of shipping to real robots or vehicles and iterating via data-flywheel loops.
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Experience in autonomous vehicle control and planning.
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Research contributions or open-source work in multi-modal transformers, diffusion control, or world models.
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Familiarity with open-source VLA frameworks such as OpenVLA or Physical Intelligence (π) models.
What’s on Offer
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Competitive salary with participation in a Stock Option Plan.
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Paid vacation aligned with local labour laws.
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Travel opportunities to international offices.
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Office perks: free breakfasts, lunches, snacks, and regular team events.
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Autonomy to shape the product and lead key initiatives.
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Collaboration with world-class engineers, researchers, and product experts in AI and robotics.
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A startup culture built on speed, transparency, and minimal bureaucracy.