About this role
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
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
Tech stack
Python
About Mind Robotics
Mind Robotics is hiring for the research + modeling role. NewJob aggregates active openings directly from Mind Robotics's applicant tracking system, so this listing is current.
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