ML Vision Engineer
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Before you apply
LocationTaiwan, Remote, Taiwan
Work moderemote
Typefull-time
SenioritySenior
DepartmentResearch & Development
Company size4+ people
PostedAug 12, 2026 · 2mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Master's degree in Computer Science, Computer Vision, or Machine Learning
Strong programming skills in C/C++
Rapid prototyping experience in Python or MATLAB
Strong understanding of multi-view geometry
Experience designing, implementing, and releasing computer vision applications
Experience with multiple object tracking or facial analysis
Experience integrating multi-sensor systems (video, WiFi, Bluetooth)
Background applying computer vision at production scale, not just in research
Experience with embedded or onboard processing on custom hardware
Skills
Python
MATLAB
C/C++
C++
WiFi
Bluetooth
Benefits
Medical insurance
About the role
We’re looking for a Machine Learning Vision Engineer to help our R&D team push the boundaries of video analytics — from multi-view geometry and 3D reconstruction to multiple object tracking and facial analysis. You’ll work at the core of Aurora, our own cloud-managed stereo sensor, which combines onboard shopper detection and tracking with WiFi, Bluetooth, and HD video recording.
You’ll do well here if you have a strong grip on multi-view geometry, an inventive eye for new techniques, and a genuine drive to scale computer vision into large, real-world installations. This isn’t research in a vacuum — the algorithms you build run in stores around the world.
Because RetailNext builds its own hardware and software end to end, you’ll get a rare shot at owning problems from theory through production deployment.
Reports to: Head of Technology
Location: Taiwan, Remote
What You’ll Do
Algorithm Research & Development
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Lead the development of new computer vision algorithms for shopper detection, tracking, and analytics
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Improve the performance and efficiency of existing algorithms already running in production
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Apply multi-view geometry techniques to solve image registration, mosaicking, and 3D reconstruction problems
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Prototype new approaches quickly in Python or MATLAB before hardening them for production
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Stay close to the research space so RetailNext’s techniques keep pace with — and get ahead of — the field
Multi-Sensor Systems Integration
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Build robust software that integrates multiple sensors and tracking systems, including Aurora’s stereo cameras, WiFi, and Bluetooth
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Design for real-world conditions — variable lighting, store layouts, and hardware constraints — not just clean lab data
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Work across the video, WiFi, and Bluetooth analytics pipelines to keep detection and tracking accurate and consistent
Applied Engineering & Delivery
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Design, implement, validate, and release applications and capabilities in C++ and Python
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Take algorithms from prototype to production-ready code that runs reliably at scale
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Validate new techniques against real deployments across large, global installations
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Partner with the rest of the R&D team to review, test, and ship new capabilities
What We’re Looking For
Required
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Master’s degree in Computer Science, Computer Vision, or Machine Learning
•
Strong programming skills in C/C++
•
Rapid prototyping experience in Python or MATLAB
•
Strong understanding of multi-view geometry
•
Experience designing, implementing, and releasing computer vision applications
Valued but Not Required
•
Experience with multiple object tracking or facial analysis
•
Experience integrating multi-sensor systems (video, WiFi, Bluetooth)
•
Background applying computer vision at production scale, not just in research
•
Experience with embedded or onboard processing on custom hardware
What We Offer
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Work on novel computer vision problems most teams never get near — multi-view geometry, 3D reconstruction, and multiple object tracking at production scale
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Help shape the algorithms behind Aurora, our own cloud-managed stereo sensor, from R&D through installations running around the world
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Real ownership over new algorithm development, not just maintenance — your work directly drives what ships next
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Monthly Recharge Day
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Holiday Exchange Program
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Best Self Benefit Program
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Medical Insurance
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Work from Anywhere up to 90 days
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