Machine Learning: World Models

• We're building a helpful robot for every home.
• All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:
• Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
• Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
• High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.
• 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.
• 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.
• 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.
• You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

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