Hybrid Senior Machine Learning Engineer, Modeling & Pipelines

at Woven by Toyota

• Job title: Senior Machine Learning Engineer, Modeling & Pipelines
• Job type: Full Time
• Experience level: Senior
• Salary: $161,000 - $264,500 per year
• Degree requirement: Postgraduate Degree
• Tech skills: ETL, Python
• Location requirements: Hybrid, Palo Alto, United States

About the role

• Machine Learning Engineer developing and optimizing ML systems for autonomous vehicles. Join Toyota’s mission of transforming mobility through human-centric innovation.

Responsibilities

• Design, build, and maintain ML pipelines that produce training and evaluation data for behavior and prediction models, including ETL, feature extraction, augmentation, and labeling workflows.
• Implement auxiliary pipelines for model validation, metric computation, and on-road performance integration.
• Design and develop 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.
• Oversee the development of new ML models end-to-end, from data strategy and initial development to 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 support other engineers by coaching, leading by example, and providing high-quality code and design document reviews, as well as delivering rigorous reports from ML experiments.
• Contribute significantly to the development of essential 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.

Requirements

• MS or PhD in Machine Learning, Computer Science, Robotics, or related quantitative fields, or equivalent industry experience.
• 3+ years of experience with Python, major deep learning frameworks, and software engineering best practices.
• Built robust data pipelines, ETL workflows, and integration systems to support behavior prediction models
• Expertise with deep learning approaches, such as supervised/unsupervised learning, transfer learning, multi-task learning, and deep reinforcement learning.
• Good understanding of learning-based planning approaches, including imitation learning, reinforcement learning, and state-of-the-art techniques for sequential modeling, such as Transformer architectures.
• Practical experience with ML training and evaluation workflows, including data sampling, preprocessing, and reproducible experiment management.
• 3+ years of experience covering machine learning workflows, data sampling and curation, preprocessing, model training, ablation studies, evaluation, deployment, and inference optimization.
• Comfortable writing C++ code for integration with our autonomous vehicle platform.
• Passion for self-driving car technology and its potential to impact humanity.
• Strong communication skills with the ability to articulate concepts clearly and precisely.

Benefits

• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits