Computer Vision Engineer - Sports Tech

StanceBeam is a dynamic startup at the forefront of revolutionizing sports tech through cutting-edge Sports analytics . Join our Bangalore-based team as a Computer Vision Engineer! If you're passionate about sports, thrive in start-up environments, and enjoy working on exciting Sports and Fitness projects, this is your role! As a proactive team player, you'll love experimenting, taking responsibility, and leading from the front. In this position, you'll collaborate closely with the CTO to research, design, implement, and manage a highly scalable Sports Analytics Solution. This opportunity is perfect for someone with an analytical mindset who enjoys working in a start-up environment.

Our team is on the lookout for a Computer Vision Engineer with a deep understanding of stereo vision, camera calibration, and 3D measurement algorithms, who is also a wizard with Python programming.

Role Overview:
As a Computer Vision Engineer, you will play a pivotal role in the development and implementation of our innovative camera-based Sports analytics and officiating system. You’ll leverage your expertise in calibration, measurement, and stereo vision algorithms to build a system that ensures precise and reliable data analytics. This role is for a tech-savvy innovator who is ready to take on challenges in a fast-paced startup environment.

Key Responsibilities:

• Develop and enhance algorithms for stereo vision-based camera systems for highly accurate player tracking and Ball tracking.
• Implement precise camera calibration techniques to ensure the integrity of object coordinates captured from multiple angles.
• Optimize 3D measurement strategies
• Write clean, efficient, and well-documented Python code to handle image data processing and algorithm implementation.
• Collaborate with the product team to design camera setups that align with the technical requirements of sports analytics.
• Apply machine learning models to improve the system's interpretive capabilities under diverse and dynamic match conditions.
• Perform rigorous testing and validation of the camera system to ensure robust performance during live matches.
• Create technical documentation and provide insights for product development iterations.
• Keep abreast of the latest advancements in computer vision and machine learning to inform system enhancements.
• Work cross-functionally to integrate the vision system with other technology components of the officiating solution.

Qualifications:

• A degree in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on computer vision; advanced degree preferred.
• At least 2 years of experience in developing stereo vision systems, preferably within a sports technology context.
• Demonstrated expertise in camera calibration, 3D measurement, and vision algorithm development.
• Proficient in Python, with a strong understanding of software development best practices.
• Hands-on experience with computer vision libraries (e.g., OpenCV) and machine learning platforms.
• Exceptional problem-solving abilities and excellent teamwork skills.

What We Offer:

• An exciting opportunity to be part of a pioneering team in sports technology and working along Sports federations, leagues and clubs.
• A chance to work on projects that blend passion for sports with cutting-edge technology.
• A collaborative, agile, and diverse work environment.
• Competitive salary and equity options.