Woven by Toyota · 2 weeks ago
Staff Machine Learning Engineer, Behavior Planning & Prediction
Palo Alto, CA
Full-time
Onsite
Senior Level, Lead/Staff
$161K/yr - $264K/yr
5+ years expWoven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. 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, influencing millions of Toyota production vehicles.
AutomotiveAutonomous VehiclesSoftware
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
Qualification
Required
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 precisely
Preferred
Published research at top-tier conferences (NeurIPs, RSS, IROS, ICRA, and similar)
Proven track record of deploying ML models at scale in self-driving or related fields
Familiarity with production-level coding in time-limited task schedules
Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
Experience with temporal data and/or sequential modeling
Experience in self-driving challenges (Perception, Prediction, Planning, Simulation)
Benefits
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits
Company
Woven by Toyota
Woven by Toyota improve the vehicle intelligence software and operation and accelerate the Toyota Mobility Concept.
1001-5000 employees
H1B Sponsorship
Woven by Toyota has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (34)
2023 (15)
Funding
Current Stage
Late StageLeadership Team
John Absmeier
Chief Technology Officer
Edwin Han
Senior Partnerships Manager
Recent News
2025-10-02
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