Job Overview:
Apple is seeking a passionate software engineer to join the Camera & Photos team, focusing on building the best photo library in the world by developing innovative algorithms and infrastructure for next-generation photo experiences. The role involves ideating, prototyping, and building new intelligence algorithms and product features for Apple platforms like iPhone, iPad, macOS, and visionPro, requiring expertise in AI/LLM applications, knowledge graph, and Apple system-level APIs. The ideal candidate will have a proven track record in product feature development, strong collaboration skills, and a passion for designing high-quality algorithms with a user-centric approach, while also demonstrating initiative and cross-functional problem-solving abilities.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Software Engineer – Photos Storytelling role at Apple, focus on highlighting your expertise in AI/LLM applications, particularly in the vision and language domains, as well as your experience with Apple system-level APIs. Emphasize any projects where you’ve applied machine learning or large language models to real-world products, especially those related to photo or video processing. Detail your proficiency in Objective-C, C++, or Swift, and showcase any work with knowledge graphs or traversal algorithms. If you’ve optimized code for constrained environments or worked with asynchronous programming, make sure to include those achievements. Your resume should also reflect your ability to collaborate cross-functionally and your passion for creating user-centric experiences, as these are key traits Apple values. Quantify your impact where possible, such as performance improvements or user engagement metrics from past projects.
During the interview for the Software Engineer – Photos Storytelling position, expect to discuss your technical expertise in depth, particularly your experience with AI/LLM applications and Apple’s system-level frameworks. Be prepared to walk through past projects where you’ve implemented machine learning or large language models, explaining your approach, challenges faced, and outcomes. You may also be asked to solve algorithmic problems related to knowledge graphs or traversal algorithms, so brush up on these concepts. Since the role involves cross-functional collaboration, be ready to discuss how you’ve worked with other teams to solve problems and disseminate findings. Apple values initiative and ownership, so highlight instances where you’ve taken the lead on projects or identified innovative solutions. Finally, demonstrate your passion for user experience by discussing how you’ve designed algorithms with the end-user in mind, and be prepared to articulate your vision for the future of photo storytelling technologies.