ML Vision Engineer
At RetailNext · Taiwan; Taiwan, Remote, Taiwan
- Data and ML
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- Posted
- 12 August 2026
- First seen by us
- 15 October 2026
- Last checked
- 7 hours ago
Job description
From RetailNext’s job post, as they wrote it.
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.
Read the full description
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
* Lead the development of new computer vision algorithms for shopper detection, tracking, and analytics
* Improve the performance and efficiency of existing algorithms already running in production
* Apply multi-view geometry techniques to solve image registration, mosaicking, and 3D reconstruction problems
* Prototype new approaches quickly in Python or MATLAB before hardening them for production
* Stay close to the research space so RetailNext's techniques keep pace with — and get ahead of — the field
Multi-Sensor Systems Integration
* Build robust software that integrates multiple sensors and tracking systems, including Aurora's stereo cameras, WiFi, and Bluetooth
* Design for real-world conditions — variable lighting, store layouts, and hardware constraints — not just clean lab data
* Work across the video, WiFi, and Bluetooth analytics pipelines to keep detection and tracking accurate and consistent
Applied Engineering & Delivery
* Design, implement, validate, and release applications and capabilities in C++ and Python
* Take algorithms from prototype to production-ready code that runs reliably at scale
* Validate new techniques against real deployments across large, global installations
* Partner with the rest of the R&D team to review, test, and ship new capabilities
What We're Looking For
Required
* 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
* Work on novel computer vision problems most teams never get near — multi-view geometry, 3D reconstruction, and multiple object tracking at production scale
* Help shape the algorithms behind Aurora, our own cloud-managed stereo sensor, from R&D through installations running around the world
* Real ownership over new algorithm development, not just maintenance — your work directly drives what ships next
* Monthly Recharge Day
* Holiday Exchange Program
* Best Self Benefit Program
* Medical Insurance
* Work from Anywhere up to 90 days
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