Machine Learning Engineer - Visual Intelligence

Apple Apple · Big Tech · Seattle, WA +2 · Software and Services

Machine Learning Engineer at Apple working on Visual Intelligence features, which combine computer vision, machine learning, and Apple intelligence to enhance user experiences. The role involves building next-generation features, including CV/ML components, sensor fusion, simulation/evaluation pipelines, and backend software. Experience in computer vision, real-time perception, or related fields is required.

What you'd actually do

  1. building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components
  2. work on building the next generation of features for Visual Intelligence
  3. work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components

Skills

Required

  • writing software
  • computer vision
  • real-time perception
  • digital signal processing
  • camera/sensor pipelines
  • sensor fusion
  • ISPs
  • robotics
  • machine learning

Nice to have

  • Swift
  • Xcode
  • Apple’s developer APIs
  • simulation/evaluation pipelines
  • core backend software components
  • Computer Science
  • Computer Engineering
  • Electrical Engineering

What the JD emphasized

  • Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning

Other signals

  • building the future of user experiences at the intersection of computer vision, machine learning and Apple intelligence
  • building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components
  • Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning