Research Jobs at Apple with Visa Sponsorship
Research jobs at Apple involve foundational problems in machine learning, computer vision, hardware systems, and human-computer interaction. Apple sponsors a broad range of work visas for Research roles, and the company has established immigration infrastructure that handles sponsorship as a standard part of its hiring process.
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Get Access To All JobsThe Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. The scale is massive – delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar on quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple's unique integration of hardware, software, and services, engineers here work with a single unified vision of deep commitment to strengthening Apple's core principles such as customer focus, privacy, and relentless innovation. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering an opportunity to work with passionate people, contribute ideas, and ship innovative software. Here, you'll do more than just join a team – you'll be creating positive impact in people's lives.
Description
The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide set of platforms such as iOS, macOS, tvOS, watchOS, Safari, 3rd party devices, and Windows. Driven by passion for the extraordinary rather than the easy, our team of problem solvers is dedicated to helping users discover media and content in exciting new ways. We are looking for motivated machine learning engineers and researchers to join us in our journey. As an ML Research Engineer on the ASE Search team, you will contribute to the design and development of next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms.
Responsibilities
-
Contribute to building experiences that shape how people search & discover on Apple devices worldwide.
-
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
-
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
-
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
-
Develop and iterate on ML models – from data preparation and training through evaluation and production deployment.
-
Build components in large-scale distributed backend systems using high-performance programming languages such as Go, Java, Python, and Scala.
-
Design and run A/B experiments to objectively measure the impact of changes.
-
Write automated tests and contribute to monitoring and alerting for production systems.
-
Present technical work to the team and participate in design and code reviews.
Minimum Qualifications
-
MS or Ph.D. in Computer Science or related subject area
-
2+ years of relevant industry experience in ML or data systems
-
Knowledge of generative AI systems including Large Language Models, Transformers, and techniques such as RAG and fine-tuning
-
Experience with one or more ML frameworks such as PyTorch or TensorFlow
-
Familiarity with search, recommendation systems, conversational engines, or related domains
-
Strong communication skills and ability to work effectively in a collaborative team environment
Preferred Qualifications
-
MS or Ph.D. in Computer Science or related subject area
-
4+ years of relevant industry experience in ML or data systems
-
Experience in building search or conversational capabilities like query understanding, retrieval, ranking, or indexing
-
Familiarity with big data pipelines using Scala, Python, or Apache Spark
-
Exposure to distributed backend services, Kubernetes, or cloud infrastructure
-
Experience with GoLang or gRPC services
-
Familiarity with A/B experimentation and data-driven product development
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 $142,300 and $263,300, 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.
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. People here create the experiences loved by users across App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. The scale is massive – delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar on quality and performance. The team is responsible for building secure, robust, end-to-end solutions across server and client to solve challenging problems. Thanks to Apple's unique integration of hardware, software, and services, engineers here work with a single unified vision of deep commitment to strengthening Apple's core principles such as customer focus, privacy, and relentless innovation. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering an opportunity to work with passionate people, contribute ideas, and ship innovative software. Here, you'll do more than just join a team – you'll be creating positive impact in people's lives.
Description
The ASE Search team is a vital part of the Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide set of platforms such as iOS, macOS, tvOS, watchOS, Safari, 3rd party devices, and Windows. Driven by passion for the extraordinary rather than the easy, our team of problem solvers is dedicated to helping users discover media and content in exciting new ways. We are looking for motivated machine learning engineers and researchers to join us in our journey. As an ML Research Engineer on the ASE Search team, you will contribute to the design and development of next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms.
Responsibilities
-
Contribute to building experiences that shape how people search & discover on Apple devices worldwide.
-
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
-
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
-
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
-
Develop and iterate on ML models – from data preparation and training through evaluation and production deployment.
-
Build components in large-scale distributed backend systems using high-performance programming languages such as Go, Java, Python, and Scala.
-
Design and run A/B experiments to objectively measure the impact of changes.
-
Write automated tests and contribute to monitoring and alerting for production systems.
-
Present technical work to the team and participate in design and code reviews.
Minimum Qualifications
-
MS or Ph.D. in Computer Science or related subject area
-
2+ years of relevant industry experience in ML or data systems
-
Knowledge of generative AI systems including Large Language Models, Transformers, and techniques such as RAG and fine-tuning
-
Experience with one or more ML frameworks such as PyTorch or TensorFlow
-
Familiarity with search, recommendation systems, conversational engines, or related domains
-
Strong communication skills and ability to work effectively in a collaborative team environment
Preferred Qualifications
-
MS or Ph.D. in Computer Science or related subject area
-
4+ years of relevant industry experience in ML or data systems
-
Experience in building search or conversational capabilities like query understanding, retrieval, ranking, or indexing
-
Familiarity with big data pipelines using Scala, Python, or Apache Spark
-
Exposure to distributed backend services, Kubernetes, or cloud infrastructure
-
Experience with GoLang or gRPC services
-
Familiarity with A/B experimentation and data-driven product development
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 $142,300 and $263,300, 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 127+ Research Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Jobs at Apple.
Get Access To All JobsTips for Finding Research Jobs at Apple
Align your research focus with Apple priorities
Apple's Research teams publish in areas like on-device machine learning, privacy-preserving AI, and silicon architecture. Frame your publications and projects around these themes so your background maps directly to their active research agenda.
Distinguish your visa category before applying
Apple sponsors H-1B, E-3, TN, and H-1B1 visas depending on your nationality. Knowing which category fits your passport before outreach lets you address sponsorship requirements confidently during recruiter screening without ambiguity.
Target Apple's academic research pipeline directly
Many Apple Research hires come through PhD internships at places like CMU, MIT, and Stanford. Securing an F-1 CPT or OPT internship at Apple often creates the most direct path to a full-time sponsored research role.
Build your case for specialty occupation early
USCIS scrutinizes whether Research roles qualify as specialty occupations. Document that your position requires a specific advanced degree, not just any technical background, so your employer's H-1B petition withstands a Request for Evidence.
Time your offer around H-1B cap deadlines
If you need a cap-subject H-1B, Apple must register you in March for an October 1 start. Negotiate your offer timeline accordingly, and confirm whether your current OPT or CPT covers the gap between your start date and H-1B activation.
Browse Apple Research openings on Migrate Mate
Filtering by visa type saves time when you have specific sponsorship constraints. Use Migrate Mate to surface Apple Research roles that match your visa category and confirm which positions are actively open before you apply.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Research roles?
Yes, Apple sponsors H-1B visas for Research positions. Apple participates in the annual H-1B cap lottery each March and also files cap-exempt petitions for candidates already holding H-1B status with another employer. Research roles involving advanced degrees often qualify for the master's cap, which carries better selection odds than the general pool.
How do I apply for Research jobs at Apple?
Applications go through Apple's careers site, but Research positions are highly competitive and often filled through academic networks, PhD internship conversions, and conference recruiting at venues like NeurIPS, CVPR, and ECCV. Tailoring your resume to reflect Apple's published research directions and having a referral from a current Apple researcher significantly improves your chances of advancing past initial screening. You can also browse open Research roles on Migrate Mate filtered by your specific visa type.
Which visa types does Apple commonly use for Research roles?
Apple uses H-1B for most international Research hires regardless of nationality. Australian citizens are frequently sponsored on the E-3 visa, which has no lottery and resets annually. Canadian and Mexican nationals may use TN visas if their role maps to a qualifying USMCA occupation. Candidates in F-1 OPT or CPT can work before transitioning to a sponsored visa after an offer.
What qualifications does Apple expect for Research positions?
Research roles at Apple almost universally require a PhD or equivalent research experience in fields like machine learning, computer vision, natural language processing, electrical engineering, or materials science. Apple expects candidates to have a publication record at peer-reviewed venues and demonstrated ability to ship research into products. Postdoctoral experience is common but not always required for positions focused on applied research close to hardware or software teams.
How long does the visa sponsorship process take for Apple Research hires?
Timeline depends heavily on visa type. H-1B sponsorship from registration to work authorization takes roughly six to eight months when tied to the October 1 cap year. E-3 visa and TN processing at the consulate or port of entry can move within a few weeks of an offer. USCIS premium processing for H-1B petitions returns a decision in 15 business days, and Apple routinely uses it for Research roles where the start date is time-sensitive.