Quantitative Analyst, Computer Vision

Summary

Join a team of quantitative analysts in the Baseball Research & Development department to shape the future of Phillies Baseball Operations. As a Quantitative Analyst, Computer Vision, you will build computer vision models and pipelines to create predictive metrics that enhance player evaluation and development. You will leverage cutting-edge computer vision techniques to extract meaningful data from video footage of player performance. This role offers the unique opportunity to contribute your expertise to cutting-edge research within the baseball industry. Collaborate with software engineers and other analysts to ensure model output aligns with downstream applications. Maintain and grow the department's computer vision research roadmap. Work with the Infrastructure and Machine Learning Engineering team to build robust and scalable pipelines.

Requirements

• Possess or are pursuing a BS, MS or PhD in Machine Learning, Computer Science, or related or equivalent practical experience
• Experience with at least one of PyTorch, TensorFlow, Keras, OpenCV, or a similar open-source framework
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Responsibilities

• Construct computer vision models using available image and video data to extract signal for use in predictive models and other analyses
• Communicate with software engineers and other quantitative analysts to ensure computer vision model output aligns with the needs of downstream models and applications
• Collaborate with departmental leadership to maintain and grow our computer vision research roadmap
• Work with our Infrastructure and Machine Learning Engineering team to build robust, scalable, and maintainable pipelines for computer vision solutions

Preferred Qualifications

Knowledge of the state of public baseball analytics research