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# Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $181,100.0 - $318,400.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Computer Engineering, Computer Graphics, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Pytorch, Deep Learning, Information Technology
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9919c6c43dd859e2

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, 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.

Minimum Qualifications

Software engineering skills and proficiency in Python

Experience with PyTorch

Independent problem solving skills

BS degree and 10+ years of experience

## Description

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., 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.


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