Member of Technical Staff, Vision-Language Research

XDOF builds data collection systems, annotation pipelines, data infrastructure, and software tools for robotics foundation models. The Member of Technical Staff, Vision-Language Research will investigate what data enables models to reason and act in the physical world, develop and evaluate multimodal representations, and test whether structured annotations improve downstream robot policies.

Responsibilities:

• Develop and evaluate representations that bridge visual perception, language, and low-level robot action conditioned on different modalities Collaborate directly with partner labs to define data requirements and close the loop between data quality and downstream policy performance
• Stay current on the research frontier (VLAs, video foundation models, flow matching, DiT architectures, egocentric pretraining) and translate insights into new research and production systems