Overview
Join a founding team to define the research agenda from day one and push the boundaries of robot learning, world models, and vision-language-action systems. You will experiment on real robotic hardware, translate ideas into prototypes, and shape the company’s technical direction with high-impact results. This role offers significant equity and a chance to influence long-term research strategy. You will work closely with a small, highly technical founding team to deliver real-world robot intelligence.
Pay / Benefits
- significant equity
Responsibilities
- Lead research across robot learning, world models and VLA systems
- Develop new model architectures, training techniques and data collection methods
- Design rigorous evaluation methods for Physical AI systems
- Translate ideas from first principles and literature into prototypes and real-world experiments
- Investigate generalisation across tasks, environments and embodiments
- Publish research while shaping the company’s long-term technical direction
Key requirements
- Strong research experience across machine learning, robotics or computer vision
- Deep understanding of modern deep learning methods
- Excellent mathematical, experimental and problem-solving instincts
- Hands-on experience training and evaluating ML models
- Ability to form hypotheses, design experiments and learn quickly from results
- Curiosity for problems with non-obvious answers
- Curiosity-driven
- Independent and proactive
- Strong problem-solving and analytical thinking
- Robot learning
- World models
- Vision-language-action (VLA) systems
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