Aesthetics Science ML Research Engineer

iPhone is the most popular camera in the world and the Aesthetics Science team is focused on infusing photographic knowledge and personal preferences into the features and algorithms that power it. We bring together aesthetics research image processing and machine learning to help advance photography while upholding what makes it a beloved medium for self-expression. Youll have real ownership over how these creativity-enhancing features come together into a coherent best-in-class experience.

Were seeking a self-driven innovative research engineer to work on image-related machine learning solutions fundamental to visual experiences on iPhone and across Apples creative ecosystem. Youll research implement and evaluate novel computational imaging features and multimodal solutions that shape future Apple bring solid experience designing training and analyzing multimodal models and evaluation frameworks end-to-end combined with a passion for photographic aesthetics and high-quality software for visual creativity and image generation. Day-to-day responsibilities include prototyping novel algorithms training and evaluating ML/generative AI (genAI) models and designing custom data collection role involves close collaboration with our research and user study teams to design thoughtful experiments and translate the results of complex subjective studies into feature development working alongside subject matter experts across visual media to build responsible intelligent systems. Your work will be highly collaborative both within the team and cross-functionally requiring you to communicate technically and creatively toward a smarter more inclusive sets you apart from a traditional ML software engineer is the ability to integrate aesthetic values beyond your own into your work and to operate confidently in spaces without clear-cut metrics. This role blurs the line between art and science and requires deep respect for both.n

3 years of demonstrated experience identifying novel problems and delivering viable solutions in multimodal vision-language models computational photography image processing or computer vision in industry or academianAbility to collaborate across multi-functional teams communicate effectively and reason through ambiguous problems deeply and thoroughlynExcellent coding skills in Python and deep learning frameworks

PhD or Masters degree in Computer Science Machine Learning Graphics or a related field or equivalent industry experiencenExperience developing and training models for agentic workflows tool calling or personalized interactionsnPast involvement building or running evaluation platforms for AI use casesnPersonal or professional experience with content creation media curation or photo/video editingnAppreciation for concepts and trends in photography videography and visual storytellingnProficiency in Swift Objective-C or MetalnFluency in additional languages (e.g. Mandarin) to support user research across global to travel internationally for work