[Hiring] ML Vision Engineer @RetailNext

Role Description

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.

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.