Principal ML Software 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 creative pros and enthusiasts alike. \\n\\nAs a Principal ML Software Engineer, you will be working 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!

Are you ready to be an early member of a new engineering team? This role is ideal for a hands-on technical leader passionate about applying cutting-edge ML technologies to real-world applications, with particular focus on reliability and performance. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.\n\n

BS/MS in Computer Science or related field, and 10+ years of significant iOS development experience\n\nStrong track record in building both, user-facing apps and system-level components, driving significant product impact\n\nStrong technical judgment and communication skills to influence leadership in high-impact strategic decisions\n\nDeep knowledge of the iOS ecosystem, including system frameworks, APIs, daemons and resource management capabilities\n\nExceptional experience with Apple's languages such as Swift and Objective-C, and machine learning development tools such as CoreML\n\nExperience optimizing models and algorithms to run efficiently on resource constrained platforms\n\nExcellent understanding of an ML-based product lifecycle\n\nDemonstrated ability to lead and set direction for ML integration across organizational boundaries\n\nExperience as a technical lead; demonstrating strong communication, collaboration, mentorship and project management skills\n\nCommitted to encouraging an open and inclusive work environment\n

PhD in Computer Science, Machine Learning or related field\n\nSolid understanding of computer vision, machine learning and deep learning techniques, including Vision Transformers, Multimodal LLMs and Diffusion models\n\nFamiliarity with modern camera ISP and digital image processing algorithms and models\n\nKnowledge and keen interest in learning the art and science of photography