Machine Learning Algorithm and Software Engineer
Apple - Sunnyvale, United States of America
Posted Nov 22, 2024
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Algorithm and Software Engineer Sunnyvale, United States of America Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other cutting-edge 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, robotics and health applications impacting millions of users. Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled on-device Machine Learning Engineer for developing and implementing state-of-the-art computer vision and graphics algorithms. We are actively involved in the whole feature cycle from data collection design and data processing to model training, optimization, and shipping algorithms in on-device software frameworks. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features across various Apple products, such as iOS, visionOS and watchOS. In this role, you will play a crucial role in bringing innovative features to Apple devices. You will work at the intersection of machine learning, software engineering, and hardware optimization to build high-performance, power efficient applications. We contribute to the entire feature lifecycle, from proposing novel algorithms, prototyping, validating, training ML models and tuning them to shipping software. We work closely with other ML researchers as well as data, software and hardware engineers both in internal and cross-functional teams across Apple. The ideal candidate will have a strong background in computer vision, machine learning and software development with particular expertise in
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