Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform
Senior CV/ML engineer on Woven by Toyota's Digital Twin Platform team for Woven City: designs, trains, and optimizes deep learning models (object detection, multi-object tracking, activity recognition) and builds real-time inference pipelines that track workers, vehicles, and packages across logistics hubs, distribution centers, and factories. Core stack: PyTorch/TensorFlow, with edge optimization
- Compensation
- Not disclosed
- Location
- Japan
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- Bachelor's in a relevant field + 7+ years hands-on CV/ML experience, or PhD + 5+ years applied experience
- Hands-on model design, training, and hyperparameter tuning with strong proficiency in PyTorch or TensorFlow
- Experience leading development of scalable perception pipelines including state-of-the-art object detection and multi-object tracking, with understanding of model trade-offs, data quality strategy, ev
- Proven track record delivering complex CV/ML systems end-to-end in production
- Demonstrated ability to lead technical projects, drive architectural decisions, and influence engineering direction
- Solid understanding of classical computer vision geometry: camera intrinsics/extrinsics, calibration, 3D reconstruction fundamentals
- Strong English communication skills, written and verbal
Nice to have
- PhD in Computer Vision, Machine Learning, or a closely related field
- Experience with human pose estimation, skeleton-based action recognition, or temporal activity recognition in video
- Familiarity with edge inference optimization: TensorRT, ONNX export, quantization, or pruning
- Experience with 3D sensing modalities such as LiDAR, depth cameras, or multi-camera calibration and fusion
- Background working in industrial, logistics, or warehouse environments
- Experience with space utilization analysis, occupancy estimation, or pedestrian/vehicle flow analysis
- Hands-on experience building video annotation pipelines or active learning loops
- Publications in top-tier CV/ML conferences (e.g., CVPR, ECCV, ICCV, NeurIPS)
- Experience with Vision-Language Models (VLMs) or agentic system design
- Hands-on experience with cloud platforms (AWS, GCP) for ML workloads
Full description
About Woven by Toyota
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.
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TEAM
Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.
We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.
Our team, Digital Twin Platform, as one of the core Social Infrastructure/Common Platform teams under the Woven City umbrella, is responsible for the realization of Woven City's vision: "Expand mobility. Enhance humanity. Engage society" by developing a robust software platform, on one hand to enable inventors and business owners to “test” their products in a virtual environment before deploying to the physical Woven City; on the other hand, to create analytics to assist in decision making based on both simulated results and more importantly operational data collected from the physical city, such as residents daily life, traffic dynamics, energy consumption, etc.
As the Digital Twin Platform is still in its early growth phase, you'll have the rare chance to influence not just what we build but how we bring it to market and experiment with different business models as the platform and its commercial strategy mature together.
For more information about Woven City, please visit:
WHO ARE WE LOOKING FOR?
We’re looking for a Senior Computer Vision and Machine Learning Engineer who can go beyond integrating pre-built APIs and off-the-shelf pipelines. You’ll design, train, evaluate, and optimize models at a deep technical level, applying them to real-world challenges across logistics hubs, distribution centers, and factories.