ML Vision Engineer

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