Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
Enterprise AI is a platform that provides end-to-end machine learning tooling experience to support and accelerate machine learning development, including autonomous driving and other related projects. Our platform serves customers as a standardized machine learning platform within Woven by Toyota as the larger Toyota Group companies.
The Enterprise AI ML Training team is dedicated to developing and optimizing Machine Learning Models and training environments. They focus on creating scalable solutions for various Machine Learning tasks, including large-scale simulations and deep learning projects. The Team collaborates closely with other Enterprise AI teams to ensure seamless integration and support for Machine Learning development across Woven, the Toyota Group and related companies.
WHO ARE WE LOOKING FOR?
As the Cloud Engineering Manager of the Enterprise AI ML Training team you will be leading the development of and optimization of our Machine Learning models and training environments.
As a member of our Enterprise AI ML Training team, you will have the opportunity to create and nurture a team and culture that directly contributes to the health and success of our product. You will have knowledge of ML model Training, processes and best practices and work closely with our other engineering teams to continuously improve our products and services.
