Machine Learning Engineer
Apple
Software Engineering
Seattle, WA, USA
Posted on Dec 4, 2024
Summary
Posted:
Role Number:200581604
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
Key Qualifications
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.
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.