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About the Role

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

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

Skills

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)
JAX
Measure-theoretic probability
Stochastic processes
Optimization theory

Experience Level

Published work or lab experience
Strong open-source contributions or personal projects

Education Level

A strong background in proof-based mathematics

About the Company

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.