Machine Learning Algorithm Engineer - Auto Focus
San Diego, CA, United States • Posted June 01, 2026
Job Type:
Full-time
Location:
San Diego, CA
Posted:
June 01, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
**Role Number:** 200651026-3543
**Summary**
Are you passionate about shaping the future of computational photography and video for billions of users worldwide? Apple's Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define the photographic and cinematic real-time auto-focus (AF) capture experience across all of Apple's camera products.
**Description**
As a technical leader within the team, you will own the end-to-end architecture, rapid prototyping, and productization of advanced machine learning-based auto-focus algorithms. You will maneuver through ambiguity independently to drive the long-term ML roadmap for AF, spearheading the design of novel learning-based systems integrated on Apple camera platforms which achieve seamless auto-focus user experience in any scene condition in both bright and low light.
You will determine methods and p...
**Summary**
Are you passionate about shaping the future of computational photography and video for billions of users worldwide? Apple's Camera Algorithm team is seeking an extraordinary and highly experienced Machine Learning Engineer to drive groundbreaking machine learning-based technologies that help define the photographic and cinematic real-time auto-focus (AF) capture experience across all of Apple's camera products.
**Description**
As a technical leader within the team, you will own the end-to-end architecture, rapid prototyping, and productization of advanced machine learning-based auto-focus algorithms. You will maneuver through ambiguity independently to drive the long-term ML roadmap for AF, spearheading the design of novel learning-based systems integrated on Apple camera platforms which achieve seamless auto-focus user experience in any scene condition in both bright and low light.
You will determine methods and p...
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