About the job
About the Team
The Enterprise AI team is dedicated to providing a robust AI innovation platform for Toyota and its affiliates. Our mission is to deliver a comprehensive end-to-end machine learning ecosystem to foster groundbreaking projects such as autonomous driving within the Toyota group. As the standardized machine learning platform for Woven by Toyota, we aim to streamline every aspect of AI development from training and inference to MLOps (Machine Learning Operations), enhancing the safety, convenience, and autonomy of Toyota vehicles.
Within this dynamic environment, the Data Platform Engineering team plays a critical role. We design and implement scalable, globally distributed data delivery solutions tailored to Toyota and its partners. Our team is at the forefront of developing both human-assisted and automated data labeling services, collaboratively engaging in various model development and AI solution initiatives. These efforts ensure that data is not only accessible but also practical, driving innovation and efficiency across the enterprise.
Qualifications
As a backend engineer, you will collaborate with machine learning engineers dispersed across different regions to assist in the development of labeling functionalities. You will provide large datasets to users across countries. Our goal is to transform the acquisition and distribution of both human and machine labeled data, accelerating the global advancement of machine learning projects.
It is essential to possess both technical and communication skills. As team members, we value constructive and positive feedback to improve the quality of our development. We promote practices such as refactoring, rewriting legacy code, profiling, code styling, and code reviews.
