Data Platform Software Engineer, Enterprise AI

The Enterprise AI team is dedicated to empowering Toyota and its affiliates with a robust platform for AI innovation. Our mission is to provide a comprehensive, end-to-end machine learning ecosystem that propels the development of groundbreaking projects, such as autonomous driving, within the Toyota Group. As a standardized machine learning platform under Woven by Toyota, we aim to streamline every facet of AI development, from training and inference to MLOps, thereby enhancing the safety, convenience, and autonomy of Toyota vehicles.

Within this dynamic environment, the Data Platform Engineering team plays a pivotal role. We design and implement scalable, globally distributed data delivery solutions tailored for Toyota and its partners. Our team is at the forefront of developing both human-assisted and automated data labeling services, and we engage collaboratively across various model development and AI solution initiatives. Through these efforts, we ensure that data is not only accessible but also actionable, driving innovation and efficiency across the enterprise.

As a Software Engineer, you will help develop the platform that enables creation and management of labeled datasets while working with seasoned engineers in various fields, such as Software Engineers, ML Engineers, Data Scientists, delivering and maintaining software for data distributed across different regions. Expect large datasets, shipping them globally. We aim to change data acquisition and delivery of human/machine-labeled data to expedite development of machine learning projects.

You will have both technical and communicational skills. As a part of the team, you are a believer in healthy, constructive, and optimistic feedback, as we encourage each other to improve our development practices; refactoring, rewriting legacy code, profiling, code style, and code reviews.