Principal Machine Learning Engineer

You will be joining PFF, a world leader in sports data collection, analysis, and application. As a Computer Vision (CV) Engineer/Scientist, your role will involve developing high-performance object detection and tracking models specifically tailored for football sports footage. Here's what you will be responsible for: - Maintain a CI/CD pipeline for CV models and workflows - Handle training and fine-tuning of CV models for object detection, tracking, homography, multi-modal analysis, etc. - Proactively research the latest CV developments and bring proof of concept projects (POC) - Build scalable data engines for evaluating models and integrating them into the existing framework - Contribute to the development of custom datasets for training and validation - Collaborate cross-functionally with data scientists, football analysts, and engineers to deploy CV systems in production - Evaluate models with custom datasets - Utilize internal and external APIs including the AWS platform - Maintain efficient documentation in Git and Confluence Qualifications Required: - 5+ years of experience in Computer Vision or Applied Machine Learning roles - Hands-on experience with modern detection and tracking - Strong understanding of projective geometry, camera calibration, and video homography - Proficiency in Python and CV/ML tools such as PyTorch, OpenCV, MMDetection, Ultralytics, and relevant platforms - Knowledge of hybrid inference strategies (e.g., cascade models, frame-skipping, multi-stage inference) - Experience in deploying models in real-time systems or stream-processing frameworks - Strong Python and CV tooling background: OpenCV, MMDetection, Ultralytics, NumPy, SciPy - Comfort designing evaluation pipelines tailored to real-world use cases and edge cases - Experience with large-scale video datasets and temporal training techniques - Experience in AWS for training and deploying models Preferred Qualifications: - B.E/B.Tech/M.Sc/M.Tech in a relevant field - Prior experience with sports video, broadcast, or ball/player tracking - Experience in training and deploying models using AWS This role offers a competitive salary range: - 190,000 - 220,000 USD per year (Remote - United States) - 280,000 - 330,000 CAD per year (Remote - Canada),