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