Machine Learning Engineer, Enterprise AI Solutions

About Woven by Toyota

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.

Job Summary

TEAM Enterprise AI provides a seamless end-to-end machine learning tooling experience, catering to and expediting the development of machine learning projects, such as autonomous driving, smart city, and others. As part of Enterprise AI, the AI Solutions team provides hands-on support to customers of the Toyota Group and related companies in solving the challenges they face in developing machine learning models and using the products developed by Enterprise AI. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique perspectives while staying true to themselves. We foster an open culture where everyone is free to express their opinions, and each voice is valued equally.

Key Responsibilities

• Design and implement machine learning models for a variety of tasks, including computer vision and natural language processing
• Take ownership of different stages of the machine learning workflow, from data collection and preprocessing to model selection, training, evaluation, and deployment
• Work with stakeholders to translate business needs into technical requirements and contribute to the development of AI solutions
• Maintain clear and organized documentation of methodologies, experiments, and results to support transparency and reproducibility
• Provide input on technical decisions and collaborate with cross-functional teams to address challenging AI problems