AIML - Machine Learning Engineer for MLX, MLR
Apple - Cupertino, United States of America
Posted Mar 9, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- 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 checked Jun 13, 2026
- Salary
- $181K-$318K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
114% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AIML - Machine Learning Engineer for MLX, MLR Cupertino, United States of America As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines. Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you. Minimum Qualifications: 2 years in C++ and Python numerical computing 2 years low-level programming 2 years in GPU programming Experience with open-source projects and collaborative software development. Experience with Machine Learning algorithms. Excellent communication skills. B.S., M.S. or PhD in Computer Science with a strong mathematical background Preferred Qualifications: 3+ years in C++ and Python programming 3+ Expert in GPU programming. Experience with
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