Qualifications
We require candidates to possess a strong background in machine learning, with hands-on experience in developing and optimizing ML systems. Proficiency in data pipeline development, model integration, and performance tuning is essential. A collaborative mindset and a passion for autonomous driving technology are highly desired. Ideal candidates should have experience working with large datasets, advanced programming skills, and the ability to tackle complex optimization problems.
About the job
Woven by Toyota is at the forefront of Toyota's transformative journey into a pioneering mobility company. With a rich legacy of innovation aimed at societal benefit, our mission is to redefine mobility through human-centric advancements, expanding its definition and societal contributions.
Our projects are anchored around four key pillars: AD/ADAS, our cutting-edge autonomous driving and advanced driver assistance systems; Arene, our software development platform for software-defined vehicles; Woven City, a living laboratory for mobility; and Cloud & AI, the digital backbone supporting our collaborative efforts. Together, we are united by a bold vision: a future free of accidents, enhancing well-being for all.
TEAM
The Behavior team at Woven by Toyota is dedicated to addressing the complexities of autonomy through advanced prediction and trajectory planning. Our work encompasses a variety of technical challenges, from analyzing vast amounts of multimodal driving data to developing efficient machine learning (ML) training pipelines and designing innovative neural network architectures that push the boundaries of state-of-the-art ML in prediction and motion planning. We are in search of dynamic and creative problem solvers who are eager to enhance mobility for everyone through human-centered automated driving solutions.
WHO ARE WE LOOKING FOR?
We are seeking a talented Machine Learning Engineer to contribute to the full lifecycle of our machine learning models. This position involves designing and optimizing machine learning systems, including performance tuning, model development, and creating support systems that streamline our processes. Key responsibilities include developing data pipelines focused on transformation libraries and dataset management, contributing to metrics and metrics pipelines, and integrating models into our on-vehicle software. This is a rare opportunity to innovate and implement groundbreaking machine learning solutions for our next-generation autonomous vehicle platform, which will influence millions of Toyota vehicles. We welcome individuals who are passionate about self-driving technology and its potential to transform society.