Advanced Computer Vision Researcher

3 days ago


Bengaluru, Karnataka, India beBeeComputerVision Full time ₹ 18,72,000 - ₹ 26,14,800
Job Description

We are seeking an accomplished researcher with expertise in computer vision to lead our team's efforts in developing innovative solutions for sports analytics. This role offers the unique opportunity to work on real-world challenges in sports technology, driving cutting-edge advancements and transforming how cricket is analyzed, broadcast, and officiated globally.

The ideal candidate will have hands-on experience with long-distance object tracking, a strong mathematics background, and advanced Python programming skills. They will be responsible for researching and developing novel algorithms for multi-camera tracking in outdoor sports environments, investigating and implementing advanced camera calibration methods, designing experiments, and validating tracking accuracy across different distances and conditions.

Required Skills and Qualifications
  • Research Experience: Minimum 3 years of R&D experience in computer vision, preferably in sports technology
  • Deep Expertise: Camera calibration methods for long-distance applications, including intrinsic and extrinsic parameter estimation, lens distortion correction, and camera network calibration
  • Tracking Systems: Ball tracking in outdoor environments, multi-object player tracking, trajectory prediction and analysis, and occlusion handling in crowded scenes
  • Technical Skills: Advanced Python programming with computer vision libraries (OpenCV, scikit-image), strong mathematics background, machine learning expertise, experience with tracking frameworks (SORT, DeepSORT), and real-time processing capabilities
Benefits
  • Research-Focused Environment: Access to latest technology and resources, direct collaboration with sports federations, leagues, and cricket boards, and competitive salary and equity package commensurate with R&D experience
Others

This is a research-heavy role focused on developing innovative solutions for sports analytics using advanced computer vision techniques. The successful candidate will be working on challenging problems related to long-range object tracking, camera calibration for extended distances, and developing robust algorithms that work in outdoor sporting environments.


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