Posted:16 hours ago|
Platform:
On-site
Full Time
We are looking for exceptional researchers and engineers to pioneer universal autonomous systems, agents that can perceive, reason, plan, and act competently across diverse tasks, embodiments, and real-world environments with minimal task-specific training.
- Push the frontier of generalist autonomy: world models, foundation models for action, lifelong learning, embodiment-agnostic architectures
- Design and train large-scale vision-language-action models and generalist policies
- Invent new techniques for zero/few-shot adaptation, sim-to-real, and cross-domain transfer
- Build end-to-end prototypes on robots (humanoids, manipulators, mobile bases, drones) and vehicles
- Create benchmarks and evaluation protocols for true generality
- Integrate safety, alignment, and robustness from day one
- Publish groundbreaking papers and file patents
- PhD (or equivalent research experience) in ML, robotics, or related fields
- Track record of high-impact publications in top venues (NeurIPS, ICML, CoRL, RSS, Science Robotics, etc.)
- Deep expertise in at least two of: foundation models, reinforcement learning, imitation learning, robot learning, control, planning, sim-to-real
- Strong coding skills (Python, PyTorch/JAX) and systems experience
- Driven about building real physical intelligence that works everywhere
Please apply using: Google Form
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