Research Scientist, Robot Foundation Models

The role

A Research & Modeling Engineer will build and train core models for robotic systems. This role involves designing training pipelines and working hands-on with robots to ensure reliable performance in production environments.

What you will do

• Design and run large-scale training pipelines for multimodal / VLA systems.
• Own the full loop: data, training, evaluation, and 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 and evaluation frameworks.
• Continuously improve performance across real-world tasks and environments.

Required 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 to model to real-world deployment (including robots).
• Domain strength in at least one: robotics, VLA systems, or training LLMs/VLMs from scratch.
• Strong Python proficiency.

Nice to have

• Experience with dexterous manipulation or complex robotic tasks.
• Experience deploying models in real-world, production environments.

About the company

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor.