Machine Learning Engineer Autolabeling Internship

Woven 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.TEAMAre you ready to make a significant impact at the forefront of automotive technology? At the Autolabeling team at Woven by Toyota, we tackle a wide range of exciting challenges, from optimization and 3D geometric computer vision to pioneering advancements in machine learning (ML) for perception autolabeling. Our mission is to automatically generate vast quantities of high-quality, consistent, and diverse autolabeled data, driving the evolution of our data-driven solutions.Who We Are Looking ForWe're on the lookout for a passionate and talented Machine Learning Intern who is eager to contribute to developing our innovative systems. As an intern, you'll have the opportunity to collaborate closely with one of our Senior ML Engineers, embarking on a future-focused project. Your role will involve integrating cutting-edge ML architectures and techniques into our Autolabeling stack development, pushing the boundaries of our technology and enhancing our autolabeling capabilities.This internship offers you the opportunity to work at the intersection of innovation and impact, where your contributions will play a crucial role in shaping the future of autonomous driving and intelligent systems. If you're driven by the desire to solve complex problems and leave a lasting mark on the industry, we invite you to join our team and become part of a group that's revolutionizing the way we see and interact with the world. Apply now and help us build the future of mobility!Responsibilities
Conduct research to integrate state-of-the-art ML components into our auto-labeling pipeline, enhancing its efficiency and accuracy.
Prepare and manage datasets to support data-driven model development and validation.
Engage in daily collaboration with a ML Engineer, receiving mentorship and guidance while working on project tasks.
Gain hands-on experience with production-level data and real-world applications, enhancing your practical skills in a professional setting.
Summarize key findings and insights in a comprehensive final report, highlighting project outcomes and providing actionable recommendations.