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About the Role

Woven by Toyota is dedicated to transforming Toyota into a mobility company for the next 100 years. Inspired by a history of invention for others, our mission is to expand the definition of mobility, enhance its societal contribution, and challenge the status quo with human-centered innovation. We operate across four pillars: AD/ADAS, Arene (a vehicle software production platform for SDVs), Woven City (a mobility testbed), and Cloud & AI (digital infrastructure). We are united in our pursuit of a "zero-accident society" and "mass production of happiness."

Responsibilities

Design, train, and optimize deep learning models for object detection, multi-object tracking, classification, and behavior recognition for industrial environments.
Build and operate real-time computer vision inference pipelines and analytics systems for logistics hubs, distribution centers, and factory operations.
Lead dataset strategy, annotation standards, model evaluation, and experimental design to continuously improve CV/ML model performance and reliability.
Define and drive the technical roadmap, architecture, and integration strategy of CV/ML systems within the broader platform ecosystem.
Establish engineering best practices and mentor engineers through technical leadership, design reviews, and adoption of state-of-the-art CV/ML technologies.

Requirements

Hold a Bachelor's degree or higher in a related field with 7+ years of practical experience in CV/ML engineering, or a PhD in a related field with 5+ years of applied practical experience.
Possess hands-on experience in model design, training, and hyperparameter tuning, with proficiency in PyTorch or TensorFlow.
Have led the development of scalable Perception pipelines, including state-of-the-art object detection and multi-object tracking systems, with a thorough understanding of model trade-offs, data quality, evaluation methodologies, and real-world deployment constraints.
Demonstrate a track record of delivering and operating complex CV/ML systems end-to-end in production environments.
Show evidence of leading technical projects, driving architectural decisions, and influencing engineering direction.
Have a solid understanding of classical computer vision geometry (camera intrinsic/extrinsic parameters, calibration, fundamentals of 3D reconstruction).
Possess excellent English communication skills (written and verbal).

Skills

Computer Vision
Machine Learning
Deep Learning
Object Detection
Multi-Object Tracking
Classification
Behavior Recognition
PyTorch
TensorFlow
Perception Pipelines
Model Design
Model Training
Hyperparameter Tuning
Data Quality
Evaluation Methodologies
Real-world Deployment
Computer Vision Geometry
Camera Calibration
3D Reconstruction
Real-time Inference
Analytics Systems
Dataset Strategy
Annotation Standards
Experimental Design
Technical Roadmapping
Architecture Design
Integration Strategy
Engineering Best Practices
Technical Leadership
Design Reviews
State-of-the-art CV/ML Technologies
PhD in Computer Vision/Machine Learning
Pose Estimation
Skeleton-based Action Recognition
Time-series Activity Recognition
Edge Inference Optimization
TensorRT
ONNX Export
Quantization
Pruning
LiDAR
Depth Cameras
Multi-camera Calibration
Sensor Fusion
3D Sensing Modalities
Logistics
Warehousing
Factory Operations
Space Utilization Analysis
Occupancy Estimation
Pedestrian/Vehicle Trajectory Analysis
Video Annotation Pipelines
Active Learning Loops
Top-tier CV/ML International Conferences
Vision-Language Models (VLM)
Agent-based Systems Design
Cloud Platforms (AWS, GCP)

Location

Woven City

Work Type

Full-time

Experience Level

Senior Level
7+ years of practical experience
5+ years of applied practical experience (with PhD)

Education Level

Bachelor's degree or higher
PhD

Salary/Compensations

Industry-standard salary commensurate with experience

Benefits

Flexible working hours
Annual paid leave: 20 days (prorated for the first year based on start month)
Sick leave: 6 days per year (prorated for the first year based on start month)
Holidays: Saturdays, Sundays, national holidays, and other days designated by the company
Social insurance: Health insurance, pension insurance, workers' accident compensation insurance, employment insurance, long-term care insurance
Housing allowance
Retirement plan
Rental car support
In-house training programs (software learning, language learning)

About the Company

Woven by Toyota is contributing to Toyota's transformation into a mobility company for the first time in 100 years.
Our mission, inspired by a history of inventing for others, is to expand the definition of mobility, extend how mobility contributes to society, and challenge the norms of mobility with human-centered innovation.
We operate across four pillars: AD/ADAS, Arene (a vehicle software production platform for SDVs), Woven City (a mobility testbed), and Cloud & AI (digital infrastructure).
Essential business functions support these teams' implementation, and together we strive to realize a "zero-accident society" and "mass production of happiness."
Toyota is redefining the meaning of mobility, moving people, goods, information, and energy, and continuously challenging the norms of mobility.
Woven City serves as a testbed for creating and testing various mobilities, aiming for the mass production of happiness with the concepts of a human-centered city, a demonstration experiment city, and an unfinished city.
Woven City brings together diverse individuals who share a passion for future mobility. Inventors, residents, and visitors test various products and services while living in a city-shaped testbed where people, mobility, and social infrastructure are interconnected.
Our Digital Twin Platform team, as part of the Social Infrastructure/Common Platform core team under Woven City, is responsible for realizing Woven City's vision: "Expand mobility. Enhance humanity. Engage society."
By developing a robust software platform, we enable inventors and business owners to "test" their products in a virtual environment before deploying them in the actual Woven City. Simultaneously, we provide an analytics foundation that supports decision-making based on both operational data collected from the real city (resident daily life, traffic dynamics, energy consumption) and simulation results.
The Digital Twin Platform is still in its early stages of growth, offering a valuable opportunity to be involved in the co-evolution of the platform and commercial strategy, influencing not only "what to build" but also "how to deliver to market" and "what business models to explore."

Equal Opportunity

We provide equal employment opportunities and respect diversity.
Personal information received will be used solely for recruitment and onboarding purposes. Please refer to our Personal Information Policy for details.