About the role
Build Native Multimodal Policies: Develop architectures where vision, language, and more modalities share a unified representation. Improve Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).
What they're looking for
- Very strong coding skills in Python, C++, or Rust
- Production MLLM Experience: Track record of training and deploying large-scale multimodal models
- Pretraining & RL Mastery: Deep intuition for LLM-style pretraining, post-training, and Reinforcement Learning at scale
- Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters
More about this role
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 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 unified foundation models that natively reason across text, image,...
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