Research + Modeling

About 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

Requirements

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

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Company Intel

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