Research + Modeling
Mind Robotics· Software Engineering
Palo AltoFull-timePosted 6mo ago
About the role
Mind Robotics is building generalized physical AI for real-world industrial deployment, starting with the factory floor. The role focuses on building and training core models that power robotic systems and ensuring reliable performance 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 (including robots).
- Domain strength in at least one: robotics, VLA systems, or training LLMs/VLMs from scratch.
- Strong Python proficiency.
Skills
Required:Large-scale model trainingML optimization at scaleDistributed systems and data pipelinesEnd-to-end deploymentDomain expertise in robotics / VLA / LLMsPython
Last updated Aug 19, 2026. Interested? Apply on the company site.
About Mind Robotics
Physical AI for the Real World
Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most.
roboticsindustrial deploymentPhysical AImanufacturing
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