Senior Applied ML Scientist u2013 Generative Video

Weekly Hours: 40 Role Number: 200640381-0836 Summary We are looking for a passionate Senior Applied ML Researcher to drive innovation in generative video modeling, with a strong focus on diffusion-based methods and related generative features. In this role, you will research, design, and deploy models at the intersection of machine learning research and real-world product impact.You will collaborate closely with research scientists, engineers, and product teams to find novel applications of generative AI capabilities to assist our creative user base. Your mission is to elevate the workflows of millions of creators by combining generative AI with Appleu2019s human-centered design principles. Description Design and train state-of-the-art generative video models, primarily based on diffusion, consistency, rectified flow, or related generative frameworksExplore novel architectures for spatiotemporal modeling (e.g., 3D U-Nets, DiT-style Transformers, hybrid CNN-Transformer models)Conduct experiments on long-range temporal coherence, motion consistency, controllability, and multi-modal conditioning (text, audio, images) Minimum Qualifications + MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience + 4+ years of experience in deep learning for generative models, particularly diffusion-based methods + Hands-on experience in distributed training of large models using PyTorch (or equivalent frameworks) + Solid understanding of video representations, spatiotemporal modeling, and neural network optimization. + Experience designing & training multi-modal DiT-style Transformers, latent diffusion, or multi-stage video generation pipelines + Experience design & training adapters + Proven ability as a creative problem solver Preferred Qualifications + PhD with research focused on generative modeling, diffusion models, or video understanding + Experience with text-to-video, image-to-video, or video-to-video generation + Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc.) Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (.

Created: 2026-03-07