Mind Robotics
Research + Modeling
Palo Alto · On-site · Full-time · Posted Jan 26, 2026
About the job
Build and train core multimodal and VLA models, taking them from data and evaluation through deployment and iteration on real industrial robots.
What you'll do
- Design large-scale training pipelines and scalable data infrastructure; define data strategy and evaluation frameworks.
- Own the data-to-training-to-evaluation-to-robot-deployment loop and translate model outputs into reliable robotic actions.
- Work hands-on with robots to debug and improve behavior across real-world tasks and environments.
What they ask for
- Built and trained large-scale models such as LLMs, VLMs, or robotics foundation models; strong understanding of modern ML, training dynamics, and large-scale optimization.
- Experience with distributed systems and data pipelines for large-scale training.
- Ability to work end-to-end from data and models to deployment on real robots; strength in 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.
Tools
Python, LLMs, VLMs, VLA systems
AI focus
Develop and train generalized physical AI models, including multimodal and VLA systems, and deploy them on robots for real-world industrial tasks.
Model-written summary · the original posting is authoritative