Mind Robotics
Research + Modeling
Palo Alto
Sponsorship not specifiedDetected 177 days ago
PythonDistributed SystemsMachine LearningData EngineeringLLMsRoboticsResearch
About the role
- Our models sit at the core of this effort, bridging cutting-edge foundation model techniques with real-world robotic execution.
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
Requirements
- Experience with distributed systems and data pipelines for large-scale training
- Built and trained large-scale models (LLMs, VLMs, or robotics foundation models)
- Deep understanding of modern ML, training dynamics, and optimization at scale
Nice to have
- Experience with dexterous manipulation or complex robotic tasks
- Experience deploying models in real-world, production environments
Skills
- 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
- Strong Python skills
Company info
- 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.
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This listing is sourced directly from Mind Robotics's careers page and normalized into a canonical job model.