Software Image Quality Engineer - Creativity Apps

Apple Apple · Big Tech · Cupertino, CA · Software and Services

Software Image Quality Integrity Engineer for Creativity Apps at Apple, focusing on photos and video editing tools. Requires expertise in image/video quality evaluation, computational photography, and on-device machine learning, with a strong QA background.

What you'd actually do

  1. planning, designing, maintaining and executing test cases with minimal direction
  2. Report bugs with outstanding isolation and regression techniques
  3. balancing a wide variety of deliverables that will rely on your talent for managing priorities and communicating progress and risks effectively and systematically
  4. working closely with other team members to help coordinate multi-functional test efforts
  5. continual dialogue with Engineering and Design as products evolve

Skills

Required

  • digital photography
  • video editing
  • image quality evaluation
  • color science
  • computational photography
  • machine learning
  • Image editing software
  • iOS and macOS familiarity
  • UX principals
  • Bachelor's degree in Color Science, Image Processing, or a related technical field

Nice to have

  • professional photographer
  • analytical, methodical, inquisitive and persistent problem solver
  • balancing multiple efforts simultaneously and meeting strict deadlines
  • extract user scenarios from software feature descriptions and requirements to translate them into effective test plans and cases
  • Outstanding interpersonal and communication skills (oral and written)
  • Ability to abstract technical details and effectively communicate to audiences at different levels

What the JD emphasized

  • passion for new technologies related to computer vision/on device machine learning
  • streamline processes for data collection and systematically parse large data sets will be a huge plus
  • Have some understanding of computational photography and machine learning
  • QA Engineer experience is highly desired

Other signals

  • computer vision
  • on device machine learning
  • image quality
  • video quality
  • computational photography