Senior Computer Vision/Machine Learning Engineer, Digital Twin Platform

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

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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.