# Founding Machine Learning - World Models at One Robot Founding Machine Learning - World Models at One Robot in San Francisco. On-site, full-time, paying $150k–$275k. Posted August 5, 2026. - Company: One Robot - Location: San Francisco - Workplace: On-site - Job type: Full-time - Pay: $150k–$275k - Posted: 2026-08-05 - Apply: https://jobs.ashbyhq.com/onerobot/084b67a9-db33-433b-bd81-e131a359b0a7/application - Source: https://jobmagic.ai/jobs/founding-machine-learning-world-models-one-robot-h45d8w ## Requirements - Very strong coding in Python and PyTorch (or similar). - Video generation experience: Deep experience training image or video generation models end-to-end. - Large-scale training: Track record operating training runs at cluster scale. - 3D vision: Working knowledge of multi-view geometry, scene reconstruction, and physical priors. ## Description We build world models that simulate manipulation scenes faithfully enough to validate, and one day, train policies without touching a robot. You'll develop generative models that make this work, with the controllability and physical fidelity to match real-robot behavior. **What you'll do:** - **Train video and dynamics models:** Develop world models with action conditioning for manipulation policies. - **Push long-horizon coherence:** Develop architectures and training methods that extend rollout quality on hard physical tasks. - **Own training infrastructure:** Run multi-GPU clusters, write custom CUDA, debug at scale. - **Build the world-model data engine:** Design, implement, and improve a data engine that allows the world model to compound learning across customers and manipulation tasks. **Requirements:** - Very strong coding in Python and PyTorch (or similar). - **Video generation experience:** Deep experience training image or video generation models end-to-end. - **Large-scale training:** Track record operating training runs at cluster scale. - **3D vision:** Working knowledge of multi-view geometry, scene reconstruction, and physical priors.