Job details

Machine Learning Engineer, Motion Planning

Get a free resume review

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

Team

Our Motion Planning and Prediction team is looking for a Machine Learning Engineer to contribute to the development of cutting-edge ML models for autonomous vehicle motion planning. In this role, you will focus on researching, developing, and optimizing ML models, helping to integrate learning-based approaches into real-world autonomous systems.

Who are we looking for?

The ideal candidate has hands-on experience with ML frameworks, a solid understanding of imitation learning and deep learning, and a passion for advancing autonomous driving technology.

Responsibilities

Develop and refine ML models for autonomous motion planning, using techniques like imitation learning, deep learning, and large-scale data-driven modeling.
Work on prototyping, validating, and iterating new ML architectures, optimizing performance for real-world deployment.
Contribute to the full ML lifecycle, including data processing, model training, performance evaluation, and deployment on autonomous vehicle platforms.
Collaborate with cross-functional teams (Perception, Simulation, Infrastructure, etc.) to ensure ML models integrate effectively within the broader autonomous driving stack.
Engage in code reviews, experiment documentation, and rigorous model testing to maintain high engineering standards.
Work in an agile, high-velocity environment, contributing to iterative development processes.

Qualifications

Masters or PhD in Machine Learning, Robotics, Computer Science, or related fields.
2+ years of experience with ML frameworks such as PyTorch, TensorFlow, or equivalent.
Knowledge of learning-based planning approaches, including imitation learning, reinforcement learning, and Transformer-based sequential modeling.
Proficient in Python or C++ for ML development and deployment.
Experience in machine learning workflows, including data processing, model training, and inference optimization.
Passionate about autonomous driving and its potential impact on mobility.

Nice to Have

Experience with robot motion planning techniques such as trajectory optimization, sampling-based planning, or model predictive control.
Background in self-driving technologies (Perception, Prediction, Mapping, Localization, Planning, Simulation).
Experience with ML deployment on real-time operating systems.

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.

WHAT WE OFFER

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

Our Commitment

・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.

Average salary estimate

$148000 / YEARLY (est.)

min

max

$112000K

$184000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Engineer, Motion Planning, Woven by Toyota

Woven by Toyota is on the lookout for an innovative and driven Machine Learning Engineer specialized in motion planning. Here at Woven, we’re not just advancing technology; we’re redefining mobility for everyone. As part of our Motion Planning and Prediction team, you’ll have the chance to delve into cutting-edge machine learning models that play a crucial role in autonomous vehicle motion planning. This isn’t your average tech role – you’ll be researching and optimizing models that are integrated into real-world systems, ensuring they operate effectively in dynamic environments. If you’ve got hands-on experience with machine learning frameworks and a passion for autonomous driving technology, we want to hear from you! You will be responsible for refining ML models through techniques like imitation learning and deep learning, while collaborating closely with cross-functional teams to achieve seamless integration in our autonomous driving stack. In addition, you’ll be actively involved in the complete ML lifecycle from data processing to model training and deployment. With a culture that combines Silicon Valley’s innovative spirit with Toyota’s dedication to quality, this is an opportunity to contribute to something truly meaningful. If you have a Master’s or PhD in a relevant field and at least 2 years of experience with frameworks like PyTorch or TensorFlow, we are eager to add your unique skills to our team. Join us in our mission to create safer, higher-quality, and more human-centered mobility solutions for everyone!

Frequently Asked Questions (FAQs) for Machine Learning Engineer, Motion Planning Role at Woven by Toyota

What responsibilities does a Machine Learning Engineer at Woven by Toyota have?

As a Machine Learning Engineer specializing in motion planning at Woven by Toyota, your responsibilities include developing and optimizing ML models specifically for autonomous vehicle motion. This involves using techniques such as imitation learning and deep learning, prototyping new architectures, and collaborating with various teams to ensure effective integration of these models within the broader driving stack. You'll also participate in the full ML lifecycle, including data processing, model training, and performance evaluation.