Computer Vision and Machine Learning Engineer

Cupertino, California, United States
Software and Services

Summary

Posted:
Weekly Hours: 40
Role Number:200564444
iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As a senior machine learning engineer, you’ll research and develop novel machine learning techniques for image enhancement and restoration, and build new, great camera capabilities across Apple products. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work too!

Description

We are looking for a Computer Vision and Machine Learning Engineer who will join us to build Apple’s next-generation iPhone and iPad camera algorithms. In this role, you will identify and develop machine leaning models for solving specific camera applications, and work closely with GPU optimization and frameworks teams on productizing camera features.

Minimum Qualifications

  • - Industry experience in developing machine learning algorithms for computer vision.
  • - Strong programming skills and hands-on experience with Python and deep learning frameworks.
  • - Solid understanding of camera systems and sensors.

Key Qualifications

Preferred Qualifications

  • - Extensive knowledge of Camera Processing Pipeline, Computer Vision, Computational Photography, Generative AI, or related areas.
  • - Proven experience in delivering products in Image/Video Enhancement and Restoration (Demosaicing/Denoising/Super-resolution/In-painting).
  • - Strong problem-solving and communication skills.
  • - Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR).

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.