Platform Engineer

• 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 data curation, 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 Palo Alto, CA 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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