About the job
About Woven by Toyota
Woven by Toyota is driving Toyota’s transformative journey into a future-focused mobility company. Our mission is to revolutionize mobility through human-centric innovation, redefining its meaning and societal impact.
Our initiatives are anchored in four key areas: AD/ADAS, focusing on autonomous driving and advanced driver assistance technologies; Arene, our software platform for software-defined vehicles; Woven City, a testing ground for mobility; and Cloud & AI, the digital backbone of our collaborative efforts. Our teams are empowered to innovate toward a bold vision: a future with zero accidents and enhanced well-being for all.
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TEAM
The Vehicle Perception team at Woven by Toyota addresses critical challenges in machine learning, including 3D perception, sensor fusion, and computer vision for autonomous vehicles. We tackle diverse challenges, from processing vast amounts of multimodal driving data to solving intricate optimization problems in computer vision. Our work includes minimizing latency on hardware accelerators, deploying scalable ML training and evaluation systems, and creating cutting-edge neural network architectures to enhance onboard perception capabilities. We seek proactive and innovative problem solvers to join us in advancing mobility through human-centered automated driving solutions for both personal and commercial use.
WHO ARE WE LOOKING FOR?
We are in search of a talented Production Machine Learning Engineer ready to deploy advanced perception models into robust software modules that function seamlessly within an automotive ADAS/autonomous framework. This role offers the opportunity to design and implement pioneering machine learning models for our next-generation autonomous vehicle platform, impacting millions of Toyota vehicles. We value candidates eager to manage the entire ML lifecycle, from requirements gathering and training to verification and compliant mass production deployment. Additionally, we appreciate individuals with a collaborative spirit, always looking to support their colleagues while maintaining a sharp focus on delivering production-ready solutions.
