Machine Learning Engineer, Online Mapping

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.

At Woven by Toyota, we work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, motion planning and end-to-end autonomy. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision.

The AD/ADAS team is seeking a skilled Machine Learning engineer to help develop a state-of-the-art online mapping system for autonomous driving. Unlike traditional approaches that rely on high-definition (HD) maps to provide road geometry, speed limits, and other essential data for autonomous vehicle operation, our system uses real-time machine learning models to infer this information directly from perception data.

As a Machine Learning engineer, your role will be to drive innovation and advance the state of the art in online map recognition, while considering constraints such as memory, computing power, and sensor capabilities. You will collaborate with other Machine Learning engineers to train, validate, and deploy new models, ensuring seamless integration with the broader autonomy stack. The system will be continuously tested on both prototype and near-production autonomous vehicles, with a concrete goal of deploying this technology in millions of Toyota vehicles in the near future. You will also closely collaborate with our autolabeling team that generates ground truth data to facilitate reuse of ML models and principles across the online and offline domain.

We recognize the unique capabilities each team member brings and encourage applicants to reach out even if they do not match all of the characteristics described below.

The base pay for this position ranges from $112,000- $184,000 a year.

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

・Excellent health, wellness, dental and vision coverage

・A rewarding 401k program

・Flexible vacation policy

・Family planning and care benefits

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.