About the job
At Rapsodo, a pioneering sports technology company, we specialize in developing cutting-edge computer vision and machine learning solutions aimed at enhancing athletes' performance. Our global presence spans across key locations including Singapore, Turkey, the USA, Japan, and the UK, establishing us as a frontrunner in sports technology. Our esteemed partners comprise all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.
Since the inception of our Turkey office in 2018, we have been dedicated to research and development, situated in the prestigious Bayraklı & Technopark at Izmir Ege University, recognized by the Ministry of Science, Industry and Technology as one of Turkey’s most successful Technoparks. Our teams excel in areas such as UI/UX, Mobile, Cloud Technologies, as well as Computer Vision, Deep Learning, and Data Science. We are on an exciting growth trajectory and seeking collaborative team members to help us deliver state-of-the-art solutions. Join us as a Junior Computer Vision Engineer!
Key Responsibilities
- Lead and execute high-quality data annotation and labeling processes for image classification, segmentation, and 3D point cloud datasets.
- Enhance techniques for 3D image blending and stitching to create seamless transitions in reconstructed environments.
- Assist in training computer vision models, monitoring performance metrics, and conducting hyperparameter tuning under the mentorship of senior engineers.
- Support the implementation of core algorithms in areas such as camera calibration, feature extraction, and image processing.
- Perform rigorous testing of software modules and APIs to ensure the stability and accuracy of vision-based solutions.
- Maintain comprehensive documentation of data workflows, training experiments, and code implementations.
