Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity! We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. Minimum Qualifications: MS or PhD in Computer Science, Machine Learning or related field, and 5 years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly diffusion models, variational auto-encoders and transformers. Experience delivering customer-facing products with computer vision, computational photography or generative AI features. Hands-on experience building, training, evaluating, and deploying diffusion, transformer and Generative Adversarial Network based models, or related methods. Experience contributing to large codebases while delivering high-quality software at scale. Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow. Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects. Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field. Committed to encouraging an open and inclusive work environment. Preferred Qualifications: Experience optimizing models and algorithms that run efficiently on resource-constrained platforms is a plus. Experience with flow matching and multi-modal conditioning for generative modeling is a plus. Familiarity with 3D reconstruction techniques from single or multiple images, particularly ML-based methods, is a plus. Knowledge of and keen interest in the art and science of photography and aesthetics. Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus.