The Aesthetics Science team is focused on infusing photographic knowledge and personal preferences into the features and algorithms that power the iPhone camera. 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. You'll have real ownership over how these creativity-enhancing features come together into a coherent, best-in-class experience. We're seeking a self-driven, innovative research engineer to work on image-related machine learning solutions fundamental to visual experiences on iPhone and across Apple's creative ecosystem. You'll research, implement, and evaluate novel computational imaging features and multimodal solutions that shape future Apple products. You 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 efforts. This 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 camera. What 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.
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Job Type
Full-time
Career Level
Senior