ML World Models Engineer for Video-Driven Simulators

The Bot Company; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

The Bot Company in San Francisco is building neural simulators that understand the grammar of the physical world, including physics, causality, and long-term dynamics. You will help develop video generation into controllable, large-scale world models.

As part of a lean, empowered team, you design and train end-to-end training loops for multi-billion parameter models on massive GPU clusters, diagnose failures, and push for measurable gains.

Qualifications

• Strong coding skills in Python, C++, or Rust.
• Experience shipping high-fidelity video models.
• Ability to design from scratch and reason about scaling laws.

Responsibilities

• Architect Neural Simulators: design and train spatiotemporal models.
• 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 and driving measurable gains.

Skills

Python

C++

Rust

Video models

Architectural intuition

Infrastructure fluency

Job description

The Bot Company in San Francisco is building neural simulators that understand the grammar of the physical world, including physics, causality, and long-term dynamics. You will help develop video generation into controllable, large-scale world models.

As part of a lean, empowered team, you design and train end-to-end training loops for multi-billion parameter models on massive GPU clusters, diagnose failures, and push for measurable gains.