← Back to Home

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 an AI startup with a mission to democratize AI strategy for all sports. We believe strategy should be a weapon in every team's arsenal — not just those with analysts, budgets, or big data labs.

Our flagship product, Cricket Strategyzer, helps grassroots and semi-pro teams prepare, adapt, and win using tools previously reserved for the elite.

Applying

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