Research Scientist

PantographSan Francisco, CA

About The Position

Pantograph is training general models that start by watching internet-scale video and end up on robots. We think the path to capable robots runs through general intelligence rather than narrow, robot-specific skills. We're scaling simple methods across video games, real-world video, and our own fleet of affordable, durable robots. We're looking for research scientists who want to scale simple methods across the largest datasets available.

Requirements

  • Large-scale pre-training (video, multimodal, image, or language)
  • Self-supervised, goal-conditioned, or unsupervised RL
  • Robotics models, especially those trained on large-scale data
  • Video generation or other large-scale sequence modeling over high-dimensional observations (e.g. pixels)
  • Trained models on large GPU clusters and are comfortable working with Kubernetes
  • Believe simple methods that scale beat complicated ones that don't, and reach for the simplest thing that could work
  • Strive to find simple, expressive metrics and measure them accurately
  • Value scientific integrity and seek to understand the true effect of different interventions

Nice To Haves

  • Experience with JAX
  • Interest in problems adjacent to the critical path — new modalities, alternatives to text for reasoning, pixel-space modeling, or automating research itself
  • A strong background in proof-based mathematics, including topics such as: Measure-theoretic probability, Stochastic processes, Optimization theory
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