Overview
In this role you will advance robotics intelligence through cutting-edge ML research. You’ll shape architectures for vision-language-action models and world models, and explore embodied representations to enable robots to learn and adapt in real-world environments. You’ll run large-scale experiments, translate academic ideas into practical research directions, and validate models on real robotic systems, contributing to an ambitious early-stage mission with equity potential.
Pay / Benefits
- equity (early-stage)
Responsibilities
- Develop new vision-language-action and world model architectures
- Explore representations for embodied intelligence
- Improve generalisation and transfer across tasks and environments
- Design and run large-scale learning experiments
- Translate research from papers into new directions
- Test and validate models on real robotic hardware
Key requirements
- vision-language-action models
- world models
- representation learning
- robot learning
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