AI Researcher Jobs at Apple with Visa Sponsorship
AI Researcher jobs at Apple involve foundational model development, on-device intelligence, and machine learning infrastructure across its hardware and software ecosystem. Apple has a consistent track record of sponsoring international AI Researchers across multiple visa pathways, making it a realistic target if you're building a long-term U.S. career in this field.
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Get Access To All JobsINTRODUCTION
The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the state of the art and then bring it to product. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.
ROLE AND RESPONSIBILITIES
We are looking for a Multimodal AI Researcher with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. Our ongoing investigations include interactive models, audio-to-audio modeling and systems. You will work on hard, open research problems in multimodal generative AI and agents, and you will see that work through to real features used by millions of people. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs.
We hire researchers who are highly motivated and deeply care about shipping. A successful candidate will stay up-to-date with the latest advancements in multimodal foundations models and applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering.
MINIMUM QUALIFICATIONS
- BS and a minimum of 3 years relevant industry experience.
- Experience building models for multimodal perception systems.
- Experience working with LLMs and VLMs.
- Software engineering skills and proficiency in Python and PyTorch.
- Curiosity and willingness to learn new things in order to improve the quality of their solutions.
PREFERRED QUALIFICATIONS
- MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
- Experience in developing, training/tuning foundation models and multimodal LLMs.
- Experience with training and troubleshooting generative architectures such as diffusion, reinforcement learning, flow matching or normalizing flow at scale.
- Experience with real-time or streaming multimodal models.
- Experience with speech understanding and generation.
- Experience applying reinforcement learning to help post-train foundation models.
- Excellent communication and experience working with multi-functional teams.
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
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 $150,400 and $277,600, 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
The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the state of the art and then bring it to product. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.
ROLE AND RESPONSIBILITIES
We are looking for a Multimodal AI Researcher with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. Our ongoing investigations include interactive models, audio-to-audio modeling and systems. You will work on hard, open research problems in multimodal generative AI and agents, and you will see that work through to real features used by millions of people. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs.
We hire researchers who are highly motivated and deeply care about shipping. A successful candidate will stay up-to-date with the latest advancements in multimodal foundations models and applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering.
MINIMUM QUALIFICATIONS
- BS and a minimum of 3 years relevant industry experience.
- Experience building models for multimodal perception systems.
- Experience working with LLMs and VLMs.
- Software engineering skills and proficiency in Python and PyTorch.
- Curiosity and willingness to learn new things in order to improve the quality of their solutions.
PREFERRED QUALIFICATIONS
- MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
- Experience in developing, training/tuning foundation models and multimodal LLMs.
- Experience with training and troubleshooting generative architectures such as diffusion, reinforcement learning, flow matching or normalizing flow at scale.
- Experience with real-time or streaming multimodal models.
- Experience with speech understanding and generation.
- Experience applying reinforcement learning to help post-train foundation models.
- Excellent communication and experience working with multi-functional teams.
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
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 $150,400 and $277,600, 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 62+ AI Researcher Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Researcher Jobs at Apple.
Get Access To All JobsTips for Finding AI Researcher Jobs at Apple
Align your research to Apple's on-device AI focus
Apple's AI Research hiring centers on privacy-preserving machine learning, neural engine optimization, and on-device inference. Framing your credentials around these areas, rather than cloud-scale or data center AI, puts your profile directly in line with what their teams are building.
Target roles that clear specialty occupation scrutiny
USCIS requires H-1B positions to qualify as specialty occupations. Apple's AI Researcher postings almost always specify a master's or PhD in machine learning, computer science, or a related field, which strengthens the specialty occupation argument from the start.
Use Migrate Mate to surface Apple's active AI Researcher openings
Apple posts AI Researcher roles across multiple internal teams, and they close quickly. Use Migrate Mate to filter for Apple roles that explicitly support visa sponsorship so you're applying to positions already cleared for international candidates.
Prepare publications and patents before interviewing
Apple's research recruiting loop typically includes a research presentation stage. Having peer-reviewed publications, arXiv preprints, or filed patents relevant to your subfield ready before you enter the loop gives your sponsorship case stronger supporting documentation if you reach the H-1B filing stage.
Understand how Apple structures LCA filings for research roles
Apple files Labor Condition Applications with DOL before submitting your H-1B petition. Research roles are typically classified under SOC codes for computer and information research scientists, which affects prevailing wage determinations and the timeline before USCIS can begin adjudication.
Plan your OPT or grace period timing around Apple's hiring cycle
Apple's core AI Research hiring ramps in the first and third quarters. If you're on F-1 OPT with a limited authorization window, timing your application to those cycles reduces the risk of your work authorization expiring while an H-1B cap-subject petition awaits an October 1 start date.
Frequently Asked Questions
Does Apple sponsor H-1B visas for AI Researchers?
Yes, Apple sponsors H-1B visas for AI Researcher roles and has done so consistently across multiple hiring cycles. The company also files H-1B1 visa petitions for Chilean and Singaporean nationals, and E-3 visa petitions for Australian citizens. Sponsorship is initiated after an offer is extended, with Apple's in-house immigration team coordinating the LCA and USCIS filing process.
How do I apply for AI Researcher jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. AI Researcher roles are spread across teams including Apple Intelligence, Core ML, Siri, and Health AI, so searching by team or research area helps narrow results. Roles are competitive and often close within weeks of posting. Migrate Mate filters active Apple openings by visa sponsorship eligibility, which is a faster way to identify positions already open to international applicants.
Which visa types does Apple commonly use for AI Researcher roles?
Apple regularly sponsors H-1B, H-1B1 visa, E-3, TN visa, and F-1 OPT for AI Researcher positions. H-1B is the most common pathway for most nationalities. Australian citizens are strong candidates for the E-3, which has no lottery and allows two-year renewable periods. TN visa status is available for Canadian and Mexican nationals in qualifying research occupations. Apple also supports Green Card sponsorship through EB-2 and EB-3 PERM for longer-tenured researchers.
What qualifications does Apple expect for AI Researcher roles?
Apple's AI Researcher postings typically require a PhD or master's degree in machine learning, computer science, electrical engineering, or statistics. Published research in venues like NeurIPS, ICML, CVPR, or ICLR is a strong differentiator. Hands-on experience with on-device model optimization, privacy-preserving ML techniques, or neural architecture design aligns closely with Apple's internal research priorities and strengthens both your candidacy and the specialty occupation classification required for H-1B sponsorship.
How do I time my application if I'm on OPT and targeting Apple?
If you're on F-1 OPT, H-1B cap-subject petitions can only be filed once per year, with a registration window in March and an October 1 start date. If you're hired before April 1, Apple can file a cap-subject petition that bridges your OPT expiration. STEM OPT extension, which allows up to 24 additional months, provides a longer runway if your first H-1B lottery selection doesn't occur immediately.