Computer Vision Developer Intern

Location: Remote/In-person

Role

Sample Projects

Develop player tracking systems from match footage
Build ball trajectory analysis models
Create automated highlight generation systems
Implement real-time action recognition for live matches

You might be a good fit if

You have experience with computer vision libraries (OpenCV, PIL, etc.)
You're familiar with deep learning for image/video processing
You enjoy working with visual data and video analysis
You have an interest in sports technology and analytics
You're comfortable with Python and neural network frameworks

What will you learn

Advanced computer vision techniques for sports analysis
Real-time video processing and analysis
Building scalable vision pipelines
Working with sports broadcast and match footage
Integration of CV models with sports analytics platforms

About

Sports Vector is a sports intelligence company helping teams build smarter strategy and win more games. We build cross-sport platforms that collect insights and data, and convert them into strategy that works across sports.

Our cricket vertical, Crictier, covers the full lifecycle of the game, from granular data tagging and analyst platforms with advanced matchups to deep performance insights, post-match breakdowns, scouting, and live in-match strategy. Everything is powered by AI and built the modern way, bringing everything teams and analysts need into one unified ecosystem.

Applying

To apply, please email your resume and a short note on a project you're proud of to careers@sportsvector.co.

If there appears to be a fit, we'll reach out to schedule short technicals. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.