Senior ML Engineer, Foundation Models

What the role actually isChef Robotics is hiring a senior ML engineer to work on foundation models for robotic food assembly. The role is centered on model architecture, training objectives, deployment tradeoffs, and learning approaches for deformable-food manipulation. The listing calls out vision-language-action models, world models, generative approaches, simulation, and real production robot data from Chef's deployed systems. What you would work onDefine architecture and training strategy for Chef's food foundation model Evaluate model families including VLAs, world models, and generative approaches Use production robot data to improve manipulation policies Balance model generalization, sample efficiency, and deployment constraints What they are asking for Strong ML, robotics, or computer science background through graduate work or equivalent experience Experience implementing and deploying ML models for real-world robotics applications Hands-on experience with large-scale model training and modern robot-learning methods Interest in manipulation problems involving messy, deformable real-world objects Why this one is worth a look Food handling is a difficult manipulation domain because the objects vary constantly and production uptime matters. Chef's pitch is interesting because it pairs a narrow commercial wedge with a growing proprietary manipulation dataset.