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Woven by Toyota · 1 day ago

Senior Machine Learning Engineer, Modeling & Pipelines, Behavior Planning

Ann Arbor, MI

Full-time

Onsite

Mid, Senior Level

$161K/yr - $264K/yr

3+ years exp

Woven by Toyota is enabling Toyota’s transformation into a mobility company, focusing on human-centric innovation. The Behavior team is looking for a skilled Machine Learning Engineer to develop and optimize machine learning systems for autonomous driving, including building ML pipelines and integrating models into on-vehicle software.

AutomotiveAutonomous VehiclesSoftware

H1B Sponsor Likely

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

Qualification

Machine LearningDeep LearningPythonData PipelinesC++ETL WorkflowsModel TrainingReinforcement LearningPassion for TechnologyCommunication

Required

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

Preferred

Published research at top-tier conferences (NeurIPS, RSS, IROS, ICRA, etc.)

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 working with temporal data and sequential modeling

Expertise 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.

Founded in 2023

Tokyo, Tokyo, JPN

1001-5000 employees

https://woven.toyota/en

H1B Sponsorship

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2025 (71)

2024 (34)

2023 (15)