Machine Learning

The Bot Company • San Francisco, CA

3d

About The Position

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. You'll work across the full ML and robotics stack to develop models, algorithms, and systems that enable autonomous operation in complex home environments. You'll transform large-scale curated data and expert demonstrations into data-efficient learning approaches that give robots deeper task understanding, robust visual memory, safer navigation, and the ability to adapt to each user's habits and preferences.

Requirements

• Very strong coding skills in Python and/or C++.
• Strong understanding of state-of-the-art ML — including VLMs, LLMs, Diffusion models, and Flow models — with the ability to implement them from scratch and make sound architectural decisions.
• Solid understanding of infrastructure for large-model training, including DDP, FSDP, Slurm, Weka, or equivalent large-scale systems.

Responsibilities

• Design and iterate on state-of-the-art ML models and algorithms that drive end-to-end robotic intelligence in real homes.
• Develop highly data-efficient online and offline training methods using large-scale curated data.
• Own the full research-to-deployment loop—from initial concept to models running on real robots performing real tasks.
• Collaborate across teams to integrate new approaches into the full autonomy stack and identify opportunities to push the state of the art.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed