Source description
About the role
Design, build, maintain, optimize and support the ML Platform’s systems and tools for perception, prediction, and planner development, allowing numerous ML engineers to effectively & efficiently iterate on dataset curation, ML modeling, training, evaluation and deployment of ML models into our functionally safe AD/ADAS stack, shipped in millions of Toyota vehicles
Develop user-friendly tooling, frameworks and libraries to support the overall ML engineering effort, from ML modeling, to tracking performance metrics and introspecting failure modes
Build and maintain efficient dataset generation, cloud training and evaluation pipelines
Develop and review code with other ML and ML Platform engineers to facilitate rapid incremental improvements
Optimize the current processes, tooling and supporting infrastructure to accelerate the overall ML engineering effort, and contribute to the long term strategy for several of our systems and products
Work in a high-velocity environment and employ agile development practices
Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan) office three days per week
Work cross functionally to align on the target architecture of our systems and optimize processes & systems globally
Drive best engineering practices across the organisation
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