Machine Learning Compiler Engineer
Apple - Sunnyvale, United States of America
Posted Oct 31, 2025
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)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
304% above the BLS role benchmark for operations aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 11-1021 - Operations 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
Machine Learning Compiler Engineer Sunnyvale, United States of America At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing. We are looking for an engineer with deep expertise in compiler technology, and eager to tackle new challenges and responsibilities as the role evolves. As the position progresses, there will be opportunities to demonstrate leadership, influence key decisions, collaborate with and support other engineers, and help guide the direction of Apple's AI-driven capabilities across the ecosystem. As a Machine Learning Compiler Engineer, you will: • Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency • Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features • Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company • Mentor and guide emerging and mid-level engineers, sharing
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