ApplySarthiML Vision Engineer
RetailNext
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This role on the market
58 open vision roles across 29 companies are on ApplySarthi right now, most of them in Bengaluru (5), Chandigarh (1).
- AI Intern – Vision-Language-Action (VLA) & DataRivr
- AMI Scientist/Interns - Geometry and 3D VisionAmi
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What vision roles keep asking for: Computer vision (50%), Python (43%), Machine learning (40%), PyTorch (29%), C++ (24%), Deep learning (19%), Observability (12%) — counted across their open postings here.
C++ jobs · Computer vision jobs · MATLAB jobs · Machine learning jobs
RetailNext has 5 open roles listed here.
- Solution Architect — Asset Protection
- Sales Development Representative
- Associate Account Director
- Associate Account Director
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for vision roles keep coming back to Computer vision, Python, Machine learning, PyTorch. Practise those questions before you sit with RetailNext.
Questions you are likely to be asked
- Why do you want to join RetailNext?
- What is your experience with Computer vision? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the ML Vision Engineer at RetailNext interview free →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
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Listed on greenhouse · posted 2026-08-12. ApplySarthi collects openings and links to application pages; the role is advertised by RetailNext, not by us.