AI Engineer

About Woven by ToyotaWoven 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.
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TEAM

Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.

We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.

The Info Mobility Car team in the Mobility BU develops driver support features that provide driving suggestions
and voice prompts to drivers.
We aim to enable safer and more comfortable driving experiences by leveraging　in-cabin and external camera images and various vehicle sensor data, with driver “busyness” and state estimation algorithms as our core technology.
Working closely with software development teams and simulation-based evaluation teams, we continuously drive performance improvements of these features.

For more information about Woven City, please visit: https://www.woven-city.global/ 

WHO ARE WE LOOKING FOR?

We are looking for someone who can lead the development of ML-based algorithms that estimate driver
workload (busyness) by combining vehicle CAN signals, various in-vehicle sensors, and driver operation logs
as time-series data. 
We welcome candidates who can leverage their expertise in driver state estimation, vehicle dynamics, sensor fusion, and machine learning to design and refine robust driver workload indices, while balancing them with other workload indicators such as surrounding-vehicle and vision-based measures. We envision someone who is comfortable working in a high-uncertainty domain, iteratively testing hypotheses with data, and collaborating with stakeholders to translate technical outcomes into product value.