Research + Modeling

Benefits

Parental leave

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Research + Modeling Palo Alto, California, United States 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

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