Machine Learning Video Algorithm Engineer

The codec deep video processing team develops machine learning algorithms to power Apple technologies with the best user visual experience. In this role, you will work closely with company-wide multiple teams and in multiple projects, from data curation to model development, in a large-scale, to help deliver new features for Apple products and bring high impact to millions of users.

Join us as a Machine Learning 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.

BS and a minimum of 3 years relevant industry experience.\nExperience evaluating supervised, unsupervised, and deep learning models.\nProficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.\nKnowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.

PhD or Master degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.\nKnowledge of low-level vision algorithms including spatial and temporal image/video processing. \nExperience working with multimodal and multimodal large language models (MLLMs) (e.g., image-text, video-audio systems).\nExperience evaluating generative and multimodal models, including benchmarking and quality assessment.\nPublication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR)\nStrong communication skills and documentation skills.