About the job
About Woven by Toyota
Woven by Toyota is contributing to Toyota's transformation into a mobility company for the next century. Inspired by a legacy of continuous invention for the benefit of others, our mission is to redefine mobility and expand its contributions to society through innovative, human-centered solutions that challenge conventional norms.
Our efforts focus on four pillars: Automated Driving and Advanced Driver Assistance Systems (AD/ADAS), Arene - a vehicle software production platform for Software-Defined Vehicles (SDVs), our mobility testing course Woven City, and the digital infrastructure supporting collaboration, Cloud & AI. Together, we strive to achieve a "zero-accident society" and the mass production of happiness.
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About the Team
The Vehicle Perception team at Woven by Toyota is tackling core challenges in machine learning technologies for 3D object recognition, sensor fusion, and computer vision in autonomous driving. We analyze vast amounts of multimodal driving data, optimize computer vision algorithms, minimize latency through hardware acceleration, deploy scalable and efficient machine learning and evaluation pipelines, and design innovative neural network architectures to advance the state of the art in perception. We are seeking driven individuals with creative problem-solving skills to help realize human-centered autonomous driving solutions for both personal and commercial use.
Desired Candidate
We are looking for an exceptional production machine learning engineer who can implement and deploy advanced recognition models as reliable, production-quality software modules on automotive ADAS/autonomous driving stacks. You will have the opportunity to design and implement innovative machine learning models for next-generation autonomous driving platforms that will impact millions of Toyota production vehicles. We welcome candidates who are eager to take ownership of the entire ML lifecycle, from requirements definition to learning, validation, and safe, compliant production deployment. A strong sense of responsibility and a "giver" mindset to actively support colleagues while delivering production-quality outputs are highly valued.
