Computer Vision Engineer

As a Computer Vision Engineer at Zenniz, you will be responsible for developing, optimizing, and maintaining computer vision algorithms and models to enhance our ball and player tracking accuracy, reliability, and robustness. You will be part of a team that is building the future of tennis by leveraging computer vision. Your responsibilities will include:

Please note that we are not interested in recruiting agencies' services.

Responsibilities

• Developing and implementing geometric computer vision algorithms for detection, tracking, and camera calibration.
• Improving the accuracy and reliability of our 3D ball tracking system using computer vision techniques.
• Optimizing software performance for embedded devices to ensure real-time tracking during matches.
• Collaborating with cross-functional teams to integrate computer vision solutions into our data-driven tennis platform.
• Staying up-to-date with the latest research and technologies in computer vision and machine learning.

Qualifications

The ideal candidate will have:

• A degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Experience in computer vision, specifically in detection, tracking, camera calibration, and software optimization.
• Programming skills in C, C++, Golang, and Python.
• Experience with embedded systems and optimizing software performance for real-time tracking.
• Strong problem-solving skills and ability to work in a fast-paced, dynamic team environment.

Location

• Remote / Helsinki, Finland

Compensation

• Competitive salary & early employee equity program

About Zenniz

• Zenniz is a leading technology company that is revolutionizing the tennis industry with data-driven solutions. Our dual-tracking technologies offer unmatched ball-tracking accuracy, and we are on a mission to explore and build the future of data-driven sports. We are a fast-paced, dynamic team that is passionate about innovating and pushing boundaries.

How to Apply

• If you are passionate about computer vision and want to be part of a team that is building the future of data-driven tennis, we would love to hear from you! Please contact us below, by email to [email protected].