ML Vision Engineer
# ML Vision Engineer **RetailNext** · Taiwan · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Computer-Vision-Engineer]` `[Machine-Learning-Engineer]` `[Research-Engineer]` `[Computer-Vision-ML-Engineer]` `[Computer-Vision-and-Machine-Learning-Engineer]` `[Machine-Vision-Engineer]` `[Computer-Vision-Software-Engineer]` `[Embedded-Vision-Engineer]` --- ### About the Role 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 Originally posted on Himalayas
- Computer-Vision-Engineer
- Machine-Learning-Engineer
- Research-Engineer
- Computer-Vision-ML-Engineer
- Computer-Vision-and-Machine-Learning-Engineer
- Machine-Vision-Engineer
- Computer-Vision-Software-Engineer
- Embedded-Vision-Engineer
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).