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In office (Sunnyvale)
Seniority
Staff · 10+ years exp
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Jan 13, 2025. Apple scores A on the Alion truth index.

Overview
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.

Description

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.

Minimum Qualifications

Software engineering skills and proficiency in Python

Experience with PyTorch

Independent problem solving skills

BS degree and 10+ years of experience

Preferred Qualifications

Passion for delivering high quality features to large groups of diverse end-users

Excellent communication and experience working with multi-functional teams

Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule

MS degree in computer vision, computer graphics, machine learning or related field

PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

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