Mind Robotics is a Rivian spinoff developing industrial robotics to automate factory operations.
THE ROLE 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 robots - Develop 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 environments QUALIFICATIONS - 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