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Open nowPosted 39 days ago

Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform

woven-by-toyota142 open roles

Where
Tokyo
Work mode
Hybrid
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Your applicationOpen nowSenior Computer Vision/Machine Learning Engineer, Digital Twin Platformwoven-by-toyota · Tokyo

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. woven-by-toyota postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 39 days ago

woven-by-toyota median: 1 days open

The posting

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

WHO ARE WE LOOKING FOR?

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.

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