---
title: 'Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform at Woven by Toyota'
canonical: 'https://feeny.ai/job/senior-computer-vision-machine-learning-engineer-digital-twin-platform-woven-by-v116kk7knqe8'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform at Woven by Toyota

- **Company:** Woven by Toyota
- **Location:** Tokyo, Japan
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/woven-by-toyota/d59b0f20-4b3b-49bf-b9a6-600ee7050db0

## Job 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.

=========================================================================

## 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: https://www.woven-city.global/

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. As a Senior Engineer, you’ll be expected to lead technical direction, define standards, and operate with a high degree of autonomy. You will shape how the team approaches hard problems, influence architecture across the CV/ML stack, and help grow the engineers around you. Your work may include detecting and tracking workers, vehicles, and packages; analyzing space utilization; and interpreting worker activity to identify productive workflows and operational inefficiencies. We value candidates with a strong research background, including PhD-level expertise in a relevant field. However, a PhD is not required, we also welcome engineers with substantial applied experience and a comparable level of technical rigor.

You’ll join a small, high-ownership team where your technical judgment will directly shape both the product’s direction and its real-world impact.

## RESPONSIBILITIES

- Design, train, and optimize deep learning models for object detection, multi-object tracking, classification, and activity recognition in industrial environments
- Build and maintain real-time computer vision inference pipelines and analytics systems deployed across logistics, distribution, and factory operations
- Lead dataset strategy, annotation standards, model evaluation, and experimentation to continuously improve CV/ML performance and reliability
- Define and drive the technical roadmap, architecture, and integration strategy for 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 advances

## MINIMUM QUALIFICATIONS

- At least a bachelor’s degree in a relevant field and 7+ years of hands-on CV/ML engineering experience, or a PhD in a relevant field plus 5+ years of applied experience
- Hands-on experience in model design, training, and hyperparameter tuning, with strong proficiency in PyTorch or TensorFlow
- Experience leading the development of scalable perception pipelines, including state-of-the-art object detection and multi-object tracking systems, with strong understanding of model trade-offs, data quality strategy, evaluation methodology, and real-world deployment constraints
- Proven track record of delivering complex CV/ML systems end-to-end in production environments
- Demonstrated ability to lead technical projects, drive architectural decisions, and influence engineering direction
- Solid understanding of classical computer vision geometry - camera intrinsics/extrinsics, calibration, and 3D reconstruction fundamentals
- Strong English communication skills - written and verbal

## NICE TO HAVES

- 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, or similar)
- Experience with Vision-Language Models (VLMs) or agentic system design
- Hands-on experience with cloud platforms (AWS, GCP) for ML workloads

========================================================================= Important Points ・All interviews will be arranged via Google Meet, unless otherwise stated. ・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version. ・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

## WHAT WE OFFER

・Competitive Salary - Based on experience ・Work Hours - Flexible working time ・Paid Holiday - 20 days per year (prorated) ・Sick Leave - 6 days per year (prorated) ・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company ・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance ・Housing Allowance ・Retirement Benefits ・Rental Cars Support ・In-house Training Program (software study/language study)

Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

## About Woven by Toyota

## Company Overview
- **One-liner**: Woven by Toyota is a wholly owned Toyota subsidiary that develops software-driven mobility technologies, including an automotive software platform, automated driving systems, and the Woven City test course.
- **Entity Type**: Private (wholly owned subsidiary of Toyota Motor Corporation)
- **Headquarters**: Tokyo, Japan (US offices in Palo Alto, CA; Seattle, WA; Ann Arbor, MI; Brooklyn, NY)
- **Founded**: April 2023 (predecessor company Toyota Research Institute-Advanced Development, Inc. was established in March 2018)
- **Founders**: Not applicable (subsidiary; the company was formed from Toyota’s internal R&D unit)

## Core Business
- **Primary industry/industries**: Automotive software, mobility technology, automated driving, cloud infrastructure
- **Target customers**: B2B primarily – automotive OEMs, Toyota Group companies, and mobility ecosystem partners
- **Mission**: “To challenge the current state of mobility through human-centric innovation.”
- **Purpose**: Drive the future of movement and enhance well-being for all

## Products & Services
- **[Arene](https://woven.toyota/en/)**: A state-of-the-art software platform that unifies and accelerates automotive software development (SaaS/platform).
- **[Automated Driving](https://woven.toyota/en/)**: AI- and data-driven automated driving technologies designed to pursue zero traffic accidents (software/hardware).
- **[Woven City](https://woven.toyota/en/)**: A test course for mobility where Weavers and Inventors co-create new mobility products and services (physical testbed).
- **[Cloud & AI Infrastructure](https://woven.toyota/en/)**: Foundational infrastructure for cross-company collaboration, providing tools, resources, and workflows for internal and partner teams (internal platform).

## Market Standing
- **Valuation/Market Cap**: Not disclosed (wholly owned subsidiary; not independently valued)
- **Key Metric**: ~2,500 employees (as of 2026)
- **Notable Investors/Partners**: 100% owned by Toyota Motor Corporation; collaborates with Toyota Group companies and external mobility partners.
- **Growth Signals**: Rapid headcount growth from predecessor (TRI-AD) to ~2,500; expansion of Woven City and Arene platform; multiple US office locations (Palo Alto, Seattle, Ann Arbor, Brooklyn).

## Competitive Advantages
- **Toyota Group backing**: Access to decades of automotive craftsmanship, safety standards, and global manufacturing scale.
- **Human-centric innovation**: Focus on safety, quality, and responsible innovation as core differentiators.
- **Unique testbed**: Woven City provides a real-world environment to validate mobility technologies.
- **Cross-functional culture**: “Kakezan” (multiplication) – combining diverse strengths across global teams.

## Strategic Focus
- **Current priorities**: Scaling the Arene platform, advancing automated driving capabilities, and operationalizing Woven City as a co-creation hub.
- **Direction**: Transforming Toyota from an automaker into a mobility company; achieving zero traffic accidents and expanding the definition of mobility.

## Why Work Here
- **Culture highlights**: Guided by “The 7 Threads” values – Drive Change for Others, Start the Momentum, Embrace Kakezan, etc. Emphasis on trust, mutual respect, and thoughtful debate.
- **Remote/hybrid policy**: Hybrid options, no core hours, practices designed for global teams across time zones.
- **Notable perks**: Mobility support (relocation assistance, cross-cultural guidance), opportunities to collaborate with engineers across the Toyota Group, hands-on cross-functional teamwork.
- **Engineering culture**: Global by design (Japan, US, UK); open communication and shared ownership; focus on quality and speed.

## Sources
1. [woven.toyota – Careers](https://woven.toyota/en/careers/)
2. [woven.toyota – Company Profile](https://woven.toyota/en/company/profile/)
3. [woven.toyota – Homepage](https://woven.toyota/en/)
4. [woven.toyota – Company Overview](https://www.woven.toyota/en/company/)
5. [woven.toyota – Culture](https://woven.toyota/en/careers/culture/)

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