Designs and operates public-cloud infrastructure for engineering teams, using Infrastructure as Code, governance, automation, and deployment pipelines to improve secure, reliable services.
About this role
This Staff-level role sits on the Machine Learning Platform team at Woven by Toyota, working closely with (and sometimes embedded in) ML teams building Perception, Prediction, and Motion Planning models for the company's AD/ADAS autonomous driving stack, shipped in millions of Toyota vehicles. Responsibilities include designing, building, and maintaining the ML Platform's systems and tools so ML engineers can iterate efficiently on dataset curation, modeling, training, evaluation, and deployment; developing user-friendly tooling, frameworks, and libraries for tracking performance metrics and introspecting failure modes; building and maintaining dataset generation, cloud training, and evaluation pipelines; reviewing code with other ML and platform engineers; and optimizing existing processes, tooling, and infrastructure while contributing to long-term technical strategy. The role works in a high-velocity, agile environment and requires presence in the Nihonbashi (Tokyo) office three days per week. Minimum qualifications include a BSc/BEng in Machine Learning (MS/PhD a nice-to-have).
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