Machine Learning Engineer • Staff

Who you are

You have extensive experience in machine learning and robotics, particularly in the context of autonomous driving — your background includes designing and implementing state-of-the-art neural networks and innovative end-to-end architectures. You are well-versed in advanced ML techniques, especially in perception, prediction, and motion planning, and you thrive on tackling complex challenges in 3D geometric computer vision scenarios.

Your strong communication skills and collaborative mindset enable you to navigate the joint nature of projects between Woven by Toyota and the Toyota Research Institute — you understand the importance of teamwork in driving innovation and achieving shared goals. You are eager to redefine mobility through cutting-edge AI and robotics, contributing directly to the future of self-driving technology.

What you'll do

In this role, you will lead the development of advanced machine learning solutions that enhance autonomous driving capabilities — you will work closely with cross-functional teams to push the boundaries of what is possible in mobility. Your responsibilities will include defining the vision and scope of projects, initiating longer-term open-research efforts, and ensuring that the solutions you develop are both innovative and practical.

You will collaborate with engineers and researchers to integrate machine learning models into production systems, ensuring that they meet the high standards required for safety and reliability in autonomous vehicles. Your work will directly impact the development of technologies that aim for a world with zero accidents and enhanced well-being for all.

What we offer

At Woven by Toyota, you will be part of a mission-driven team that is at the forefront of transforming mobility — you will have the opportunity to work on groundbreaking projects that challenge the status quo and redefine how mobility serves society. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and innovative thinking.