- Robot type
- Service and Consumer
- Location
- San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Feb 25, 2026
- Salary
- $200,000–$350,000 a year
Machine Learning: World Models
Job description
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
All roles at The Bot Company demand extreme sharpness and the…
Job 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.
Job 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.
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