Computer Vision & Deep Learning Assistant Engineer (Part-Time)

Rapsodo is a leading sports technology company with a global presence, including offices in Singapore, Turkey, USA, Japan, and the UK. The company specializes in computer vision and machine learning products designed to enhance athlete performance. Their impressive client base includes all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.

The Turkey office, established in 2018, serves as Rapsodo's R&D hub with locations in Bayraklı & Technopark at Izmir Ege University. This office is recognized as one of Turkey's most successful Technoparks by the Ministry of Science, Industry and Technology. The R&D center houses various teams including UI/UX, Mobile, Cloud Technologies, Computer Vision, Deep Learning, Data Science, and Unity.

As a Computer Vision & Deep Learning Assistant Engineer, you'll work on cutting-edge projects involving satellite imagery processing and golf course generation using deep learning techniques. You'll be responsible for developing efficient workflows, implementing deep network architectures, and optimizing 3D modeling pipelines in Unity. This role offers an excellent opportunity to work with advanced technologies while contributing to innovative solutions in sports technology.

The position is ideal for university students with strong Python programming skills and experience in deep learning frameworks, particularly PyTorch. You'll gain valuable experience working with large datasets and applying computer vision techniques in a real-world setting. The part-time nature of the role makes it perfect for students looking to gain industry experience while completing their studies.