Researcher, World Models
Menlo, Palo Alto +1
The role
We are hiring a Researcher to advance the world models at the core of Asimov's ability to perceive, predict, and act. You will work at the intersection of self-supervised representation learning, predictive architectures, and embodied control, in close collaboration with our platform, firmware, and hardware teams.
What you will do
- Design, train, and rigorously evaluate world models that let Asimov predict the consequences of actions across visual, proprioceptive, and force/torque modalities.
- Advance our self-supervised learning stack for visual and sensor representations, building on and extending the JEPA family (V-JEPA, I-JEPA, and related predictive-embedding approaches).