Machine Learning Research Jobs at Apple with Visa Sponsorship
Machine Learning Research jobs at Apple involve working on foundational AI problems across devices, services, and silicon, with the company maintaining a consistent track record of sponsoring international researchers across multiple visa categories. If you're targeting these roles, Apple treats visa sponsorship as a standard part of hiring for qualified candidates.
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Get Access To All JobsINTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
- Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
- Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
- Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
- Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $181,100 and $318,400, 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
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
- Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
- Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
- Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
- Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $181,100 and $318,400, 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 42+ Machine Learning Research Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Research Jobs at Apple.
Get Access To All JobsTips for Finding Machine Learning Research Jobs at Apple
Align your research portfolio to Apple's focus areas
Apple's ML research priorities include on-device inference, neural network compression, and privacy-preserving machine learning. Tailor your publications, GitHub projects, or thesis work to these areas before applying, so your credentials map directly to what their research teams are evaluating.
Distinguish yourself with published or applied research
Apple recruits ML researchers through academic pipelines at venues like NeurIPS, ICML, and CVPR. Having peer-reviewed work or a strong preprint record signals readiness for a research-track role and strengthens the specialty occupation case USCIS needs to approve your H-1B petition.
Clarify your visa category before the offer stage
Apple sponsors H-1B, E-3 visa, TN, and F-1 OPT depending on your nationality and status. Ask your recruiter early which category applies to you so there are no surprises when the offer letter arrives and timelines for filing or transferring become critical.
Use Migrate Mate to find open Machine Learning Research roles at Apple
Apple's ML research openings are spread across product lines and aren't always easy to track. Use Migrate Mate to filter for sponsorship-confirmed roles at Apple so you're applying to positions where international hiring is already part of the process.
Understand how OPT cap-gap protects you during H-1B transitions
If you're on F-1 OPT when Apple files your H-1B, the cap-gap provision extends your work authorization through September 30 if your OPT expires during the waiting period. USCIS requires the petition to be filed before your OPT end date to qualify.
Prepare your DOL Labor Condition Application documentation early
Apple's legal team files the LCA with DOL before submitting your H-1B petition. Providing your exact job duties, worksite location, and start date accurately from day one avoids amendments later, which can delay your authorization by weeks.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Researchs?
Yes, Apple sponsors H-1B visas for Machine Learning Research roles. These positions typically qualify as specialty occupations under USCIS standards because they require at minimum a bachelor's degree in computer science, machine learning, or a closely related technical field. Apple's legal team handles the LCA filing with DOL and the subsequent H-1B petition, which is standard practice for research-track hires.
Which visa types does Apple commonly use for Machine Learning Research roles?
Apple sponsors several visa categories for Machine Learning Research positions depending on your citizenship and current status. H-1B is the most common path for non-Australians and non-Canadians. Australian citizens are eligible for the E-3 visa, which carries no lottery and has a much faster processing timeline. Canadian and Mexican nationals may qualify for TN visa status. F-1 students can start on OPT before transitioning to a sponsored visa category.
What qualifications does Apple expect for Machine Learning Research roles?
Apple's Machine Learning Research positions typically require a PhD or master's degree in machine learning, computer science, statistics, or a related quantitative field. Practical experience with PyTorch or JAX, published research at top-tier venues like NeurIPS or CVPR, and familiarity with on-device or privacy-preserving ML methods are common differentiators. Industry research experience or strong open-source contributions can supplement an academic background.
How do I apply for Machine Learning Research jobs at Apple?
You can find Machine Learning Research roles on Apple's careers site, but filtering specifically for sponsorship-confirmed openings is easier through Migrate Mate, which curates Apple's listings by visa category. Once you apply, expect a multi-stage process including a technical screen, coding and system design rounds, and a research presentation. Timelines from application to offer can range from six to twelve weeks depending on team and role level.
How do I time my application if I'm on OPT or between visa statuses?
If you're on F-1 OPT, Apple can file your H-1B petition during the annual cap season starting in March for an October 1 start. If your OPT expires before October 1 and your petition is selected in the lottery, the cap-gap provision covers you through September 30. Starting your job search at least six to nine months before your OPT expires gives you enough runway to go through Apple's full interview process before the filing window opens.