Machine Learning: Multimodal Foundation 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 unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies.
• You will work on large multi-modal networks and own the entire stack from data to training and deploying models.
• 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).
• 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.
• Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
• 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.
• 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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