# ML Vision Engineer at RetailNext > Remote · Taiwan · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aretailnext%3A8686989002 (read 2026-11-11). ## Facts (observed) - Company: [RetailNext](https://alderhq.app/companies/retailnext) - Location text: Taiwan; Taiwan, Remote - Where it can be done from (inferred): Remote · Taiwan (evidence: "Location: Taiwan; Taiwan, Remote") - Posted: 2026-08-12 (91 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://retailnext.net/open-position/8686989002?gh_jid=8686989002 - Skills listed (inferred): Python, C++ ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) ### 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 --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aretailnext%3A8686989002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.