Computer Vision Engineer
Rapsodo seeks a Computer Vision Engineer to develop state-of-the-art vision and deep‑learning solutions for sports performance analytics. The role involves collaborating with UI/UX, mobile, cloud, and Unity teams within the Turkey R&D hub.
Skills required
About this role
Rapsodo is a sports technology company that designs computer vision and machine learning products to help athletes maximize their performance. With offices strategically located in Singapore, Turkey, the USA, Japan, and the UK. Rapsodo is the undisputed leader in sports technology. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.
Opened in 2018, our Turkey office operates as the R&D arm of Rapsodo. We have offices located in Bayraklı & Technopark in the Izmir Ege University, recognized by the Ministry of Science, Industry and Technology as one of Turkey’s most successful Technoparks. Our offices incorporate UI/UX, Mobile, Cloud Technologies along with Computer Vision, Deep Learning, Data Science and Unity teams. Rapsodo is rapidly growing, and we are looking for team players who will contribute to deliver state-of-the-art solutions with us. We're looking for a Computer Vision Engineer to join us!
Key Responsibilities:
- Develop and implement computer vision and image processing algorithms, including 3D vision, camera calibration, image classification, segmentation, and feature extraction.
- Conduct research and apply advanced techniques in linear algebra, numerical optimization, probability, and statistics to improve image processing solutions.
- Work with OpenCV and other relevant libraries to develop and optimize vision-based applications.
- Design and maintain software architecture and APIs, ensuring seamless integration with existing systems.
- Collaborate with cross-functional teams to implement and refine vision-based solutions.
- Optimize performance and scalability of computer vision algorithms for real-world applications.
Requirements:
- Master’s or PhD in Computer Science or related fields, specializing in Computer Vision and Image Processing.
- 3-5 years of relevant working experience in computer vision applications.
- Strong expertise in 3D vision, camera calibration, image classification, segmentation, and feature extraction.
- Proficiency in linear algebra, numerical optimization, probability, and statistics.
- Hands-on experience with OpenCV and related tools.
- Excellent programming skills in C/C++ with some experience in Python.
- Experience in software architecture and API design, with strong integration skills.
