Machine Learning Engineer

To build scalable pipelines for transforming raw video into organized datasets, the full-time Active Learning - ML Engineer will work remotely, focusing on developing infrastructure for computer vision systems while ensuring data quality and applying advanced machine learning techniques. Key responsibilities: Build scalable pipelines that convert high volumes of raw video into version-controlled datasets for computer vision development Create active learning workflows that integrate automated annotation and expert review processes Develop internal applications for expert validation and maintain data quality throughout the lifecycle of training assets Required qualifications: Strong professional experience in building production software and ML infrastructure, particularly in computer vision systems Expertise in Python development, with familiarity in FFmpeg, SQL, and production-quality software engineering practices Hands-on experience with object detection, multi-object tracking, and video analysis Knowledge of active learning and human-in-the-loop data workflows Experience with cloud technologies such as AWS or GCP, along with familiarity with ML frameworks like PyTorch or TensorFlow Virtual Vocations Inc