Research + Modeling, Palo Alto

Research&Modeling Engineer

At Mind Robotics, we're building generalized physical AI— robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our models sit at the core of this effort, bridging cutting-edge foundation model techniques with real-world robotic execution.We're looking for a Research&Modeling Engineer to build and train the core models that power our systems, and ensure they perform reliably on real robots in production environments. Responsibilities: Design and run large-scale training pipelines for multimodal / VLA systems Own the full loop: data→ training → evaluation → deployment on real robotsDevelop scalable infrastructure for data ingestion, training, and iteration Translate model outputs into reliable, high-performance robotic actions Work hands-on with robots to debug, iterate, and improve behavior Define data strategy (quality, scale, diversity) and evaluation frameworks Continuously improve performance across real-world tasks and environmentsQualifications: Built and trained large-scale models (LLMs, VLMs, or robotics foundation models) Deep understanding of modern ML, training dynamics, and optimization at scale Experience with distributed systems and data pipelines for large-scale training Comfortable operating end-to-end: from data→ model → real-world deployment (incl. robots)Domain strength in at least one: robotics, VLA systems, or training LLMs/VLMs from scratch Strong Python skills Nice to Have: Experience with dexterous manipulation or complex robotic tasks Experience deploying models in real-world, production environments