Machine Learning Engineer

Join us as an ML Engineer and build the next-generation video processing features. You will play the key role from data to feature development. In this role, you will identify and develop machine leaning solutions and work closely with multiple teams to optimize and productize those features. Minimum Qualifications Master’s degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences Strong experience in evaluating supervised, unsupervised, and deep learning models Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow Strong communication skills and documentation skills Preferred Qualifications PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of low-level vision algorithms such as spatial and temporal image/video processing Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR) Experience evaluating generative models (e.g., text generation, image/video generation) Excellent independent problem-solving skills Hands-on experience working on MLLMs