Machine Learning Engineer, Distributed Data Systems - Robotics

Design, build, and scale distributed data infrastructure to power large-scale multimodal training and evaluation. Manage distributed data pipelines, collaborate with researchers to translate requirements into production-ready systems, and harden pipelines for reliability, scalability, and security in high-stakes environments. Based in San Francisco with a hybrid in-office model and relocation support.