Machine Learning Engineer
Sunnyvale, California, United States
Machine Learning and AI
Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro's Eyesight and Persona. In this position, you will have the opportunity to 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. You will be 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. You will perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and cross-functionally.
Minimum Qualifications
- 3+ years of experience working on ML projects for computer vision / graphics applications.
- Software engineering skills and proficiency in Python.
- Experience with PyTorch.
- BA/BS degree in computer vision, computer graphics, machine learning or related field.
Key Qualifications
Preferred Qualifications
- MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
- Self-motivated with proven ability to effectively prioritize and deliver tasks on schedule.
- Excellent communication and experience working with cross-functional teams.
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.