What are the responsibilities and job description for the Computer Vision Engineer position at PFF?
Job Details
Any, OH Fully Remote Full Time
COMPUTER VISION ENGINEER
PFF is the global leader in the collection, analysis, and application of sports data. With clients spanning the majority of the professional and college football landscapes - along with major media entities and sports fans worldwide - PFF is at the forefront of revolutionizing how football is played, coached and consumed. Our data-driven insights empower teams, broadcasters, and fans with cutting-edge analytics that drive smarter decisions on and off the field.
Toward these aims, our team is looking for a Computer Vision Engineer to aid the development of AI-driven sports analytics. In this role, you will build and optimize player tracking and video-based performance models. This is a high-impact position that combines deep learning, computer vision, and software engineering to push the boundaries of sports data technology.
Role Requirements
Any, OH Fully Remote Full Time
COMPUTER VISION ENGINEER
PFF is the global leader in the collection, analysis, and application of sports data. With clients spanning the majority of the professional and college football landscapes - along with major media entities and sports fans worldwide - PFF is at the forefront of revolutionizing how football is played, coached and consumed. Our data-driven insights empower teams, broadcasters, and fans with cutting-edge analytics that drive smarter decisions on and off the field.
Toward these aims, our team is looking for a Computer Vision Engineer to aid the development of AI-driven sports analytics. In this role, you will build and optimize player tracking and video-based performance models. This is a high-impact position that combines deep learning, computer vision, and software engineering to push the boundaries of sports data technology.
Role Requirements
- Develop and optimize deep learning models for player tracking, event detection, and biomechanical analysis using game footage.
- Integrate and support models in PFF’s end-to-end data pipeline for ingesting, processing, and analyzing sports video data to benefit PFF’s sports analytics products.
- Research and implement cutting-edge computer vision techniques.
- Collaborate with data scientists, engineers, and product team members to improve accuracy, speed, and scalability of AI models.
- Work with cloud-based infrastructures (AWS) to deploy scalable and cost efficient solutions in production.
- 1 years of experience researching and developing Computer Vision solutions specific for real-world sports use cases - football in particular is required.
- Expert grasp of software architecture, development practices/tools especially in regards to large-scale datasets is required.
- Experience designing, building, testing, deploying and maintaining predictive AI/ML models at scale and in production environments is required.
- Proven experience with video-based object detection and tracking.
- Strong programming skills in Python and cloud computing (AWS) for model training and deployment are required.
- Excellent communication and collaboration skills are required.
