Chef Robotics brings intelligent, adaptable automation to food manufacturers. Scale meal assembly with robots built for the real world. Backed by Kleiner Perkins.
About the role
The next leap in food robotics won't come from hand-tuned policies for individual ingredients — it will come from foundation models that generalize across thousands of food types, kitchen configurations, and manipulation scenarios out of the box. At Chef, we're building that model: the Food Foundation Model.
What they're looking for
- MS or PhD in Machine Learning, Robotics, Computer Science, or a related field — or equivalent industry experience
- 5+ years of experience implementing and deploying ML models for real-world robotics applications
- Hands-on experience with large-scale model training: pre-training, fine-tuning, and post-training alignment pipelines
- Familiarity with modern policy and generative model architectures — diffusion models, transformers, behavior cloning, or large-scale multimodal models
- Strong PyTorch skills and experience building reliable, production-quality training and evaluation infrastructure
- Solid software engineering fundamentals in Python, able to write maintainable code across research and production codebases
More about this role
Chef Robotics is bringing AI into the physical world, starting with one of the world’s largest industries: food manufacturing.
Food production faces one of the most severe labor shortages in the US, with more than 1 million open jobs today and demand continuing to grow. Our robots help manufacturers automate repetitive food-preparation and assembly tasks so they can increase throughput, improve consistency, and keep production onshore.
Today, Chef robots operate in production facilities across North America and Europe, serving customers including Amy’s Kitchen, gategroup, and CookUnity. Our robots have made over 100 million servings in production, creating the world’s largest proprietary dataset for AI-powered manipulation of deformable food. Every meal our robots produce makes the system smarter.
Backed by leading investors including Avataar Ventures, Construct Capital, Bloomberg Beta, Promus Ventures, and Kleiner Perkins, we’re scaling rapidly with a robotics-as-a-service (RaaS) model and long-term customer partnerships. Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build...
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