# ML Vision Engineer

**Company:** [RetailNext](https://zerogtalent.com/frontier-companies/retailnext)
**Location:** Taiwan
**Work mode:** Remote
**Seniority:** Senior
**Employment type:** Full Time
**Category:** Research
**Department:** Other
**Listed:** 2026-08-12

[View and apply on Zero G Talent](https://zerogtalent.com/frontier-jobs/retailnext/ml-vision-engineer-8686989002)

## Job 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 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

## Other open roles at RetailNext

- [Talent Acquisition Partner](https://zerogtalent.com/frontier-jobs/retailnext/talent-acquisition-partner-8754804002) — Europe, Remote; South Africa, Remote
- [Solution Architect — Asset Protection](https://zerogtalent.com/frontier-jobs/retailnext/solution-architect-asset-protection-8784317002) — USA
- [Associate Account Director](https://zerogtalent.com/frontier-jobs/retailnext/associate-account-director-8637131002) — Germany Remote

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*