# ML Vision Engineer at RetailNext

ML Vision Engineer at RetailNext in Taiwan. Remote. Posted August 12, 2026.

- Company: RetailNext
- Location: Taiwan
- Workplace: Remote
- Posted: 2026-08-12
- Apply: https://retailnext.net/open-position/8686989002?gh_jid=8686989002
- Source: https://jobmagic.ai/jobs/ml-vision-engineer-retailnext-mpcxtv

## Requirements

- 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

## Description

### **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 DoAlgorithm 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 ForRequired**

- 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