Machine Learning: World Models

The Bot Company • San Francisco, CA

1d

About The Position

We are building neural simulators that understand the "grammar" of the physical world, including physics, causality, and long-term dynamics.
You will develop video generation into controllable, large-scale world models.

Requirements

• Very strong coding skills in Python, C++, or Rust.
• Video Generation Expertise: Deep experience shipping/researching high-fidelity video models.
• Architectural Intuition: Ability to design from scratch and reason about scaling laws and failure modes.
• Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters.

Responsibilities

• Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations.
• Scale Training: Own the end-to-end training of multi-billion parameter models on huge clusters.
• Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments—diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed