Rapsodo is a sports technology and analytics company with headquarters in Singapore, and offices in the USA, Turkey and Japan. Using Computer Vision and Machine Learning, Rapsodo develops sports analytics products that are data-driven and portable to empower athletes at all skill levels to analyse and improve their performance. 

From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

Powered by Athletes who get it, and Engineers who can do it.

Join Team Rapsodo in defying limits and unlocking limitless potential, one data point and one heart-felt success story at a time.

The Role:

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 development of new products and enhancing existing products.

Requirements

Skills & Requirements:

  • Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
  • 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

Location

Singapore

Job Overview
Job Posted:
2 months ago
Job Expires:
Job Type
Full Time

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