Jobs and Careers

Staff Machine Learning Engineer, Behavior Planning & Prediction

Palo Alto, United Statesfull_timeVerifiedPosted 8 Oct 2025

💰 $264,500/yr($161,000/yr – $264,500/yr)

About the role

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.
TEAM:The Behavior team at Woven by Toyota tackles Autonomy challenges for problems in prediction and trajectory planning. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Prediction and Motion Planning. We are looking for driven and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.
WHO ARE WE LOOKING FOR?The Behavior team is looking for a skilled Machine Learning Engineer to help advance cutting-edge machine learning systems for prediction and motion planning in autonomous driving. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.

RESPONSIBILITIES

Define the technical roadmap for the team towards short and long term development.
Initiate and Influence cross-functional teams towards common development goals.
Initiate high risk, high rewards projects towards overall business goals.
Guide the design and development towards advanced machine learning models in the behavior space specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis.
Deploy scalable and efficient ML models on our autonomous vehicle platform.
Integrate modern technologies with rigorous safety standards while maintaining cost efficiency.
Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
Lead large, multi-person projects and significantly influence the overall Motion Planning architecture and technical direction.
Enable and help other engineers on the team to be more effective through coaching and leading by example and by providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation.
Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions
Work in a high-velocity environment and employ agile development practices.
Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.

MINIMUM QUALIFICATIONS

MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience.
5+ years of experience with Python, any major deep learning framework, and software engineering best practices
Comfortable in writing C++ code to help integrate with our autonomous vehicle platform.
5+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning.
Extensive experience with learning-based planning approaches like imitation learning, reinforcement learning and state-of-the-art techniques for sequential modeling like Transformer architectures.
5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Passionate about self-driving car technology and its potential for humanity.
Strong communication skills with the ability to communicate concepts clearly and prec