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Job Description
Role Number: 200643943-3956
Summary
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
Description
We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
Minimum Qualifications
5+ years of experience working on ML projects for 3D computer vision or graphics applications.
Strong software engineering skills and proficiency in Python and PyTorch.
Comprehensive understanding of diffusion models, transformers and auto-encoders.
Capable of making well-informed and practical decisions in a rapidly evolving environment.
BA degree in computer vision, computer graphics, machine learning or related field.
Preferred Qualifications
Good software engineering skills and proficiency in C/C++.
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or
related fields.
Excellent communication and experience working with multi-functional teams.
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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