ML Platform Engineer, AD/ADAS

This ML Platform Engineer is part of Woven by Toyota’s AD/ADAS organization, supporting machine-learning work for autonomous-driving perception, prediction and route planning. The role works with ML engineers to scale development and deployment of these capabilities. The engineer designs, builds, maintains, optimizes and supports platform systems and tools for dataset curation, modeling, training, evaluation and implementation. Responsibilities include developing libraries and frameworks for modeling, performance-metric monitoring and failure-mode analysis, as well as data-curation and cloud training and evaluation pipelines. The role also reviews code and improves engineering processes and infrastructure. Applicants need a bachelor’s degree in machine learning, computer science, robotics or a related field, or equivalent practical experience; at least three years with data structures, algorithms, design patterns and software-engineering practices; and at least one year using UNIX-like systems such as Linux, Python, and PyTorch or TensorFlow. They also need at least one year across the MLOps lifecycle, including data preparation, training, evaluation, deployment and inference optimization, plus experience with Docker and CI systems such as GitHub Actions.