Senior Product Manager shaping software development and collaboration platforms for Woven by Toyota and the Toyota Group. Define product strategy, roadmaps, requirements, and user outcomes.
About this role
The Machine Learning Platform team builds software foundations for AD/ADAS teams developing perception, prediction, and planning. This engineer supports ML development and production deployment using multimodal driving data. The work spans platform systems, developer tools, frameworks, and libraries for dataset curation, model iteration, performance tracking, failure analysis, training, evaluation, and deployment. It includes dataset-generation and cloud training/evaluation pipelines, infrastructure maintenance, code review, and improvements to ML engineering processes. Applicants need a bachelor's degree in machine learning, computer science, robotics, or a related quantitative field, or equivalent industry experience; 3+ years with data structures, algorithms, design patterns, and software engineering practices; and 1+ year with UNIX-based systems, Python, and PyTorch or TensorFlow. They also need 1+ year across the MLOps cycle, including data preparation, distributed training, testing, evaluation, deployment, and inference optimization, plus Docker and CI experience such as GitHub Actions.
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