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ML Vision Engineer
RetailNext. Lead the development of new computer vision algorithms for shopper detection, tracking, and analytics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing computer vision algorithms, with strong proficiency in C++ and Python for production-scale applications. Capable of integrating multi-sensor systems and applying multi-view geometry techniques for advanced analytics.
Highest-signal resume keywords
Computer Vision Algorithm DevelopmentC++ ProgrammingPython Rapid PrototypingMulti-View Geometry TechniquesMulti-Sensor System Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer VisionAlgorithm OptimizationImage Registration3D ReconstructionObject TrackingFacial AnalysisEmbedded ProcessingProduction-Scale ApplicationsSoftware DevelopmentApplication Release
Tools & Technologies
MATLABAurora Stereo CamerasWiFiBluetooth
Certifications & Qualifications
Master's Degree in Computer ScienceMaster's Degree in Computer VisionMaster's Degree in Machine Learning
Industry Keywords
Analytics PipelinesPrototypingHardware ConstraintsVariable LightingStore Layouts
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- 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 image registration, mosaicking, and 3D reconstruction
- Prototype new approaches in Python or MATLAB before hardening them for production
- Build software integrating Aurora's stereo cameras, WiFi, and Bluetooth
- Design for variable lighting, store layouts, and hardware constraints
- Work across video, WiFi, and Bluetooth analytics pipelines
- Design, implement, validate, and release applications and capabilities in C++ and Python
- Take algorithms from prototype to production-ready code running reliably at scale
- Validate techniques against real deployments across large, global installations
- Partner with the R&D team to review, test, and ship new capabilities
Requirements
What you’ll need- 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
- Experience with multiple object tracking or facial analysis (valued but not required)
- Experience integrating multi-sensor systems (video, WiFi, Bluetooth) (valued but not required)
- Background applying computer vision at production scale, not just in research (valued but not required)
- Experience with embedded or onboard processing on custom hardware (valued but not required)
Benefits
Comp & perks- 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