Machine Learning Engineer

Degree in CS, Machine Learning, or equivalent industry experience Deep understanding of applied ML pipelines in production environments Experience across ML modeling techniques and frameworks (e.g., ranking, embeddings, neural networks, tree-based models) 5+ years building and shipping ML systems with measurable product impact Experience in recommender systems, video understanding, or human-in-the-loop learning (Bonus)

Real-time ranking and recommendation of newly uploaded videos Modeling video relevance, quality, and local importance Noise and duplicate detection Leveraging multimodal signals for relevance scoring Building human-in-the-loop feedback loops Drive prioritization and technical execution across ML efforts Identify opportunities for emerging AI/ML methods Ensure recommendation models scale