Staff Computer Vision Engineer
Core
Research, design, implement, compare, integrate, and optimize state-of-the-art Computer Vision and Machine Learning algorithms to automate sports content creation, including player/ball tracking, segmentation, and event detection.
Role type
Staff Computer Vision Engineer (hands-on IC with mentorship)
Builds
Automated sports data products and video analysis solutions for broadcasters, fans, and media partners
Domain
Sports technology, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Computer Vision, Deep Learning, Python, PyTorch, TensorFlow, AWS, multi-object tracking, segmentation, event detection, 3D localization, model optimization
Preferred skills
None explicitly stated
Technologies
PyTorch, TensorFlow, AWS, Python
Responsibilities
Research and implement CV/ML algorithms, automate manual operator tasks, integrate research into real-world products, write scalable code, participate in code reviews, build reusable code libraries
Seniority
Staff, hands-on IC with strategic impact
