ML Software Engineer Jobs at Apple with Visa Sponsorship
ML Software Engineer jobs at Apple sit at the intersection of hardware and intelligent systems, spanning on-device inference, neural engine optimization, and foundation model research. Apple has a strong track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from initial OPT through long-term permanent residency pathways.
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Get Access To All JobsINTRODUCTION
Apple’s Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.
DESCRIPTION
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.
Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
Responsibilities
- Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
- Defining and implementing APIs in Metal Performance Shaders.
- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
- Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap.
- Working with hardware team to analyze performance on future silicon.
- Tune GPU-accelerated compute across products.
MINIMUM QUALIFICATIONS
- Technical BS/MS degree and Equivalent experience.
- 2 plus years of experience.
- GPU compute kernel framework development, maintenance, and optimization.
- Experience with system level programming and computer architecture.
- Experience with high performance parallel programming, GPU programming experience.
PREFERRED QUALIFICATIONS
- Excellent programming and problem-solving skills.
- Strong communication skills.
- Strong collaboration skills.
- Good understanding of machine learning fundamentals.
- Background in mathematics, including linear algebra and numerical methods is a plus.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Apple’s Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.
DESCRIPTION
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.
Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
Responsibilities
- Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
- Defining and implementing APIs in Metal Performance Shaders.
- Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
- Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap.
- Working with hardware team to analyze performance on future silicon.
- Tune GPU-accelerated compute across products.
MINIMUM QUALIFICATIONS
- Technical BS/MS degree and Equivalent experience.
- 2 plus years of experience.
- GPU compute kernel framework development, maintenance, and optimization.
- Experience with system level programming and computer architecture.
- Experience with high performance parallel programming, GPU programming experience.
PREFERRED QUALIFICATIONS
- Excellent programming and problem-solving skills.
- Strong communication skills.
- Strong collaboration skills.
- Good understanding of machine learning fundamentals.
- Background in mathematics, including linear algebra and numerical methods is a plus.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 308+ ML Software Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs at Apple.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Apple
Align Your Research Portfolio to Apple's Stack
Apple prioritizes on-device ML, Core ML, and Neural Engine work over cloud-first approaches. Publishing or presenting work on efficient inference, model compression, or privacy-preserving ML directly signals fit for their hardware-integrated research culture.
Target Teams That File Early in Fiscal Year
Apple's ML hiring cycles often front-load offers ahead of USCIS's April H-1B registration window. Applying in the preceding fall positions you to receive an offer with enough lead time for your employer to register and file without rushing.
Clarify Your OPT Timeline Before Your First Interview
If you're on F-1 OPT, calculate your STEM extension eligibility and remaining authorized period before engaging recruiters. Apple's E-Verify participation qualifies you for the 24-month STEM extension, which is critical context for negotiating a realistic start date.
Distinguish Yourself Across Multiple Visa Pathways
Apple sponsors H-1B, E-3, TN, and H-1B1 visas depending on your nationality. If you're Australian or Canadian, proactively flagging your eligibility for E-3 or TN status can simplify Apple's sponsorship process and accelerate your timeline considerably.
Prepare Your Degree Equivalency Documentation Early
Apple's ML roles typically require a master's or PhD in computer science, electrical engineering, or a related field. If your degree is from outside the U.S., have a credential evaluation completed before the offer stage so USCIS specialty occupation documentation is ready without delay.
Use Migrate Mate to Find Open ML Roles at Apple
Filtering for visa-sponsoring employers in the electronics and hardware sector narrows your search to companies with verified sponsorship track records. Use Migrate Mate to browse current ML Software Engineer openings at Apple and identify the right moment to apply.
Frequently Asked Questions
Does Apple sponsor H-1B visas for ML Software Engineers?
Yes, Apple sponsors H-1B visas for ML Software Engineer roles. The company participates in E-Verify and has a consistent record of filing H-1B petitions for technical positions in machine learning and AI. Because H-1B selection is subject to the annual lottery, timing your application to align with Apple's hiring cycle before the April registration window matters.
How do I apply for ML Software Engineer jobs at Apple?
You can apply directly through Apple's careers portal or browse verified open roles through Migrate Mate, which filters for positions where visa sponsorship is confirmed. Apple's ML hiring process typically includes a recruiter screen, technical phone interviews focused on ML fundamentals and systems design, and a final loop with the relevant research or engineering team.
Which visa types does Apple commonly sponsor for ML Software Engineer roles?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and Green Card pathways including EB-2 and EB-3 for ML Software Engineers. F-1 OPT and CPT are also supported for students. Your nationality and degree level determine which categories apply. Australians can pursue E-3 visa, Canadians and Mexicans TN visa, while most others rely on H-1B or direct immigrant visa filings.
What qualifications does Apple expect for ML Software Engineer roles?
Most ML Software Engineer positions at Apple expect a master's or PhD in machine learning, computer science, or electrical engineering, with hands-on experience in areas like on-device inference, model optimization, or neural network architecture. Familiarity with Apple's frameworks such as Core ML or Metal is a practical differentiator. Strong publication records or open-source contributions in relevant areas carry significant weight during evaluation.
How do I think about the visa sponsorship timeline when targeting Apple?
If you need H-1B sponsorship, your offer timing relative to the April USCIS registration window is critical. Apple typically front-loads technical hiring in the fall and winter quarters. If you're on OPT, confirm your STEM extension eligibility through E-Verify early, since that 24-month window often bridges the gap between graduation and an approved H-1B petition taking effect on October 1.