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

  • 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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