ML Research Engineer Jobs at Apple with Visa Sponsorship
ML Research Engineer jobs at Apple sit at the intersection of fundamental research and product-scale deployment, covering areas like neural architecture, on-device inference, and silicon-aware model optimization. Apple has a consistent track record of sponsoring work visas for this function across multiple visa categories.
Find ML Research Engineer Jobs at AppleOverview
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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 Research Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Research Engineer Jobs at Apple.
Get Access To All JobsTips for Finding ML Research Engineer Jobs at Apple
Align your research to Apple Silicon
Apple's ML hiring strongly favors candidates with experience optimizing models for constrained hardware environments. Frame your resume and publications around on-device inference, quantization, or neural engine efficiency to match what Apple's teams are actively building.
Target teams through published research
Apple's ML Research Engineers often publish through CVPR, NeurIPS, and ICML. Identify the specific Apple research group whose papers align with your work, then apply to roles tied to that team rather than casting broadly across all open positions.
Clarify your visa category before interviewing
Apple sponsors several visa types for this role. Know which category applies to your situation before your recruiter screen so you can ask targeted questions about their process for that specific visa, not just general sponsorship willingness.
Prepare for the H-1B cap timeline early
If your offer lands outside a cap-exempt pathway, H-1B registration opens in March with an October 1 start date. Coordinating your offer acceptance, I-129 filing, and start date around this window requires planning months before you'd actually begin work.
Document specialty occupation evidence thoroughly
USCIS scrutinizes ML roles when the job description uses broad language. Work with Apple's immigration counsel to ensure the LCA and I-129 petition specifically describe the theoretical and applied research duties that require an advanced degree in a relevant field.
Search verified sponsoring roles on Migrate Mate
Confirming which ML Research Engineer openings at Apple are actively tied to sponsorship saves time during a targeted job search. Migrate Mate filters roles by visa type so you reach out to the right positions from the start.
Frequently Asked Questions
Does Apple sponsor H-1B visas for ML Research Engineers?
Yes, Apple sponsors H-1B visas for ML Research Engineer roles. Apple files petitions through the standard USCIS cap process as well as through cap-exempt pathways where applicable. Because ML Research is a specialized function requiring advanced technical credentials, Apple's immigration team treats these roles as clear specialty occupation cases when preparing the petition documentation.
How do I apply for ML Research Engineer jobs at Apple?
Apply directly through Apple's careers portal, but increase your chances by targeting the specific research domain you work in rather than applying to every open role. Apple's ML Research teams are organized around areas like vision, speech, and on-device learning. Tailoring your application materials to the relevant team's published work signals genuine fit. You can browse currently open roles with confirmed sponsorship through Migrate Mate.
Which visa types does Apple commonly use for ML Research Engineers?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT and CPT for ML Research Engineer roles, as well as immigrant pathways including EB-2 and EB-3. The right category depends on your citizenship. Australian citizens typically pursue the E-3 visa, Canadians and Mexicans use TN visa, and nationals from most other countries enter through H-1B, subject to the annual lottery.
What qualifications does Apple expect for ML Research Engineer roles?
Apple's ML Research Engineer positions typically require a PhD or a master's degree with substantial research output in machine learning, computer vision, natural language processing, or a closely related discipline. Publications at venues like NeurIPS, ICML, CVPR, or ICLR carry significant weight. Applied experience with large-scale model training, framework-level optimization, or hardware-aware ML is often expected alongside academic credentials.
How do I think about the timeline from offer to work authorization at Apple?
Timeline depends on your visa category. E-3 and TN holders can often start within four to eight weeks of an offer if consular appointments are available. H-1B cap cases require your start date to align with the October 1 fiscal year, meaning an offer in spring may involve a six-month gap before your first day. F-1 OPT holders can start sooner if their OPT authorization is already active.