Creative Intelligence Software Engineer - Camera and Photos

Apple Apple · Big Tech · San Francisco Bay Area, CA +1 · Software and Services

Software Engineer role focused on integrating computer vision, image processing, and machine learning (including generative models) into Apple's Camera and Photos features, specifically for on-device execution and shipping to a massive scale of users. The role involves building frameworks and core layers for features like generative editing, photographic styles, and Cinematic HDR video.

What you'd actually do

  1. integrating the features and algorithms that turn what it captures into something extraordinary
  2. bring together computer vision, image processing, and machine learning into the exciting experiences that define digital photography today — Cinematic HDR video, Photographic Styles, and generative editing in the Photos app
  3. build the frameworks and core layers that power these experiences — the abstractions the rest of Photos, and teams beyond it, build on — while integrating new algorithms, from classical image processing to on-device ML and generative models, to define what comes next
  4. have real ownership over how these features and algorithms come together into a coherent, best-in-class experience
  5. shipping high-quality software to join an expanding team building the next generation of image and video editing features across Photos, and beyond

Skills

Required

  • 5+ years of professional software engineering experience
  • Object-oriented analysis and design experience
  • C / C++ / Objective-C / Swift experience
  • Experience with performance analysis and optimization techniques
  • Experience with image or video processing technologies

Nice to have

  • Experience with image and video processing applications, methodologies, and best practices
  • Experience with Metal or other GPU programming frameworks
  • Experience with on-device or applied ML techniques and paradigms
  • Interest in visual media, graphics, and/or photography
  • Creative mindset
  • Experience shipping client-facing apps

What the JD emphasized

  • proven track record of shipping high-quality software
  • on-device ML
  • generative models
  • on-device or applied ML techniques

Other signals

  • integrating features and algorithms
  • computer vision, image processing, and machine learning
  • generative editing
  • on-device ML and generative models
  • integrating complex algorithms and frameworks into production-quality software
  • on-device or applied ML techniques