Pantograph PBC
Research Scientist
San Francisco · On-site · Full-time · Posted Jul 14, 2026
About the job
Research scalable general models trained on large-scale video and other data, with the goal of enabling robots to learn from and act in the real world.
What you'll do
- Scale simple modeling methods across video games, real-world video, and data from the company’s robot fleet.
- Train and evaluate large models, using accurate metrics to understand the effects of research interventions.
- Explore research areas such as pre-training, reinforcement learning, robotics models, and sequence modeling.
What they ask for
- Experience in at least one area: large-scale pre-training; self-supervised, goal-conditioned, or unsupervised RL; robotics models; or video generation and large-scale sequence modeling.
- Experience training models on large GPU clusters.
- Comfort working with Kubernetes.
Nice to have
- Experience with JAX.
- Interest in adjacent research areas such as new modalities, alternatives to text for reasoning, pixel-space modeling, or research automation; or a strong background in proof-based mathematics.
Tools
Kubernetes, JAX
AI focus
Develop general models that learn from internet-scale video and other large datasets, with the aim of enabling robots to act in the real world.
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