Computer Vision Engineer

Rapsodo Inc. is a sports analytics company that uses computer vision and machine learning to help all athletes maximize their performance. Our proprietary technology applications range from helping PGA Tour golfers optimize their launch conditions to allowing MLB pitchers to increase the efficiency of their breaking balls. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.

Job Description:

Our algorithm team designs, develops and implements state of the art computer vision solutions to address needs of complex Rapsodo products. As a Computer Vision Engineer, you will be part of a world-class, skilled engineering team developing state of the art measurement solutions which help athletes reach their full potential. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include the development of new products and enhancing existing products.

• Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
• Minimum 3-5 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction
• Strong knowledge in Linear Algebra, Numerical Optimization, Probability and Statistics
• Hands-on experience with OpenCV
• Excellent C/C++ programming skills with some Python experience
• Experience with software architecture and/or API design, complemented by robust integration skills
• The ability to communicate technical information clearly and succinctly to both technical and non-technical team members