Machine Learning Scientist Jobs at Apple with Visa Sponsorship
Machine Learning Scientist jobs at Apple involve building some of the company's most consequential research teams, with roles spanning on-device intelligence, natural language processing, and computer vision. Apple has a well-established sponsorship track record for this function and supports multiple visa pathways for international candidates.
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Get Access To All JobsINTRODUCTION
Apple’s Server ML Frameworks team in Intelligent System Experience works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center. We are looking for a senior technical leader with strong technical background who is deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution and to partner with software and hardware leaders to define Server Apple Intelligence roadmap.
DESCRIPTION
As a senior technical leader on Apple's Server ML Frameworks team, you will set the technical direction and software architecture for the frameworks that power Apple Intelligence at scale. You will partner with teams across Apple to propose, develop, and evaluate features in new Apple Intelligence models; collaborate closely with our hardware organizations to influence the design of next-generation silicon; and help define the compute and programming models for future server architectures. You will also grow and mentor a team of engineers, establish engineering best practices, and build the cross-functional relationships needed to deliver complex, multi-team initiatives.
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
- BS/MS/PhD in Computer Science or a related field, or equivalent practical experience.
- 3-5 years of experience as a manager or technical leader.
- Experience with GPU kernel development and optimization using compute programming models such as Metal, CUDA, or similar.
- Experience with distributed training or inference techniques.
- Strong system-level programming skills in C/C++, with a solid understanding of operating systems and computer architecture.
PREFERRED QUALIFICATIONS
- Track record in strategic leadership and decision-making.
- Familiarity with Apple framework and API design patterns.
- Experience with graph compilers such as CuTE, CuTile, Triton, OpenXLA or LLVM is a plus.
- Good understanding of LLM and Diffusion based model architectures.
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 Server ML Frameworks team in Intelligent System Experience works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center. We are looking for a senior technical leader with strong technical background who is deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution and to partner with software and hardware leaders to define Server Apple Intelligence roadmap.
DESCRIPTION
As a senior technical leader on Apple's Server ML Frameworks team, you will set the technical direction and software architecture for the frameworks that power Apple Intelligence at scale. You will partner with teams across Apple to propose, develop, and evaluate features in new Apple Intelligence models; collaborate closely with our hardware organizations to influence the design of next-generation silicon; and help define the compute and programming models for future server architectures. You will also grow and mentor a team of engineers, establish engineering best practices, and build the cross-functional relationships needed to deliver complex, multi-team initiatives.
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
- BS/MS/PhD in Computer Science or a related field, or equivalent practical experience.
- 3-5 years of experience as a manager or technical leader.
- Experience with GPU kernel development and optimization using compute programming models such as Metal, CUDA, or similar.
- Experience with distributed training or inference techniques.
- Strong system-level programming skills in C/C++, with a solid understanding of operating systems and computer architecture.
PREFERRED QUALIFICATIONS
- Track record in strategic leadership and decision-making.
- Familiarity with Apple framework and API design patterns.
- Experience with graph compilers such as CuTE, CuTile, Triton, OpenXLA or LLVM is a plus.
- Good understanding of LLM and Diffusion based model architectures.
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.
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Get Access To All JobsTips for Finding Machine Learning Scientist Jobs at Apple
Align your research portfolio to Apple's ML focus areas
Apple prioritizes on-device ML, privacy-preserving machine learning, and neural engine optimization. Tailoring your published work, GitHub projects, or patents to these areas signals fit before your resume reaches a recruiter.
Target teams through Apple's research publication record
Apple ML researchers publish under groups like Siri, Core ML, and Vision. Identifying specific teams via their public papers helps you name the right organization in your application and network toward the right hiring manager.
Verify your visa type early in the interview process
Apple sponsors H-1B, E-3, TN, and F-1 OPT among other categories. If you're nearing the end of OPT, confirm with the recruiter whether Apple's legal team can file before your authorization expires, since processing timelines matter.
Prepare a degree equivalency letter if your credential is non-U.S.
For H-1B specialty occupation petitions, USCIS scrutinizes foreign degree equivalency. Having a credential evaluation from a NACES-member organization ready before offer stage avoids delays once Apple's immigration counsel begins the I-129 filing.
Use Migrate Mate to filter open Machine Learning Scientist roles by visa type
Sponsorship eligibility varies by role and team even within Apple. Use Migrate Mate to surface active postings filtered to your specific visa category so you're applying to positions Apple is actively sponsoring for that function.
Request a start date that accommodates DOL and USCIS timelines
Once Apple's legal team initiates the H-1B process, the Labor Condition Application must clear DOL before the I-129 is filed with USCIS. Negotiating a start date at least 90 days out reduces the risk of a gap in work authorization.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Scientists?
Yes, Apple sponsors H-1B visas for Machine Learning Scientists. The company works with in-house immigration counsel to manage LCA filings with the DOL and I-129 petitions with USCIS. Because Machine Learning Scientist roles qualify as specialty occupations requiring at minimum a bachelor's degree in a directly related field like computer science or statistics, they're well-suited for H-1B sponsorship.
How do I apply for Machine Learning Scientist jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Roles are listed under Research and Machine Learning or within specific product organizations like Siri, Core ML, or Health. You can also find and filter open Machine Learning Scientist positions at Apple by visa type on Migrate Mate, which surfaces active sponsorship-eligible postings in one place.
Which visa types does Apple commonly sponsor for Machine Learning Scientist roles?
Apple sponsors H-1B and H-1B1 visas for most international candidates in this function. Australian citizens are eligible for the E-3 visa, which has no lottery and is processed separately from the H-1B cap. Canadian and Mexican nationals may qualify under TN visa status. F-1 OPT and CPT are also supported for students in qualifying programs, and Apple files EB-2 and EB-3 petitions for permanent residence.
What qualifications does Apple expect for Machine Learning Scientist roles?
Most Machine Learning Scientist postings at Apple require a PhD or a master's degree with substantial research experience in machine learning, computer science, or a closely related quantitative field. Apple's teams value publication records, experience with large-scale model training, and proficiency in frameworks like PyTorch or JAX. Roles focused on on-device ML also expect familiarity with model compression, quantization, or neural architecture search.
How do I estimate the timeline from offer to work authorization at Apple?
After accepting an offer, Apple's immigration team typically initiates the LCA filing with DOL, which takes around seven business days under standard processing. The I-129 H-1B petition then goes to USCIS. Standard processing takes several months, but premium processing reduces USCIS adjudication to 15 business days. For E-3 visa applicants, consular processing in Australia can move faster. Plan on at least 60 to 90 days from offer to start date for most pathways.