Computer Vision Engineer

Rapsodo Inc. is a sports analytics company that employs computer vision and machine learning to help athletes maximize their potential. Our proprietary technology is used in a variety of applications, from helping professional golfers on the PGA Tour optimize their launch conditions, to aiding Major League Baseball pitchers increase the efficiency of their breaking balls. We're proud to count all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and more than 1000 NCAA athletic departments among our partners. Job Description: Our algorithm team creates, develops, and applies cutting-edge computer vision solutions to meet the needs of complex Rapsodo products. As a Computer Vision Engineer, you'll be joining a world-class engineering team that develops state-of-the-art measurement solutions to help athletes reach their maximum potential. This role demands a flexible skill set, and offers the chance to contribute in all pertinent domains. Your responsibilities will include working on new products and enhancing our existing range. Requirements: - Masters or PhD in Computer Science or related fields, specializing in Computer Vision and Image Processing - A minimum of 3-5 years of related work experience - Strong knowledge and practical experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction - A robust understanding of 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 - Ability to communicate technical information clearly and succinctly to both technical and non-technical team members.