About the job: - Build computer vision at the intersection of AI and sports. - Gabriella Systems is building AI-powered coaching intelligence for cricket, baseball, and softball. - We use computer vision and video understanding to transform sports video into actionable insights about athlete movement, technique, and performance. - We are looking for a Computer Vision Research Intern interested in turning modern CV research into working sports-AI prototypes. What you will work on: - Athlete detection and tracking. - Human pose estimation and keypoint analysis. - Bat and ball detection and tracking. - Batting and swing-motion analysis. - Video understanding and action recognition. - Temporal event detection. - Model evaluation on real-world sports footage. Technical skills: - Strong foundation in Python. - Strong foundation in PyTorch. - Strong foundation in OpenCV. - Strong foundation in Deep learning. - Strong foundation in Computer vision. - Strong foundation in Object detection. - Strong foundation in CNNs and Vision Transformers. Experience with one or more of the following is a plus: - YOLO or RT-DETR. - MediaPipe or pose-estimation models. - ByteTrack or DeepSORT. - Video Transformers. - Action recognition. - Segment Anything or video segmentation. - Vision-language models. - Optical flow. - Camera geometry and calibration. Who should apply: - Undergraduate, master's, or PhD students in Computer Science, AI, Machine Learning, Computer Vision, Robotics, or related fields who enjoy implementing research and building working prototypes. Logistics: - Location: Remote. - Commitment: Approximately 8 to 10 hours per week. - Duration: 8 to 12 weeks. Requirements: - 2 plus years of work experience with Python. - 2 plus years of work experience with Deep Learning.

Computer Vision Research Intern — Sports AI

Emma

Responsibilities

Skills wanted:

Language(s) required:

Praveen Tirupattur

Praveen Tirupattur

About Gabriella Systems:

mission:

gabriellasystems.com

Admin access needed