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 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, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for 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 making a positive impact on 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, Fitness+, iTunes, and more, across a wide set of platforms including iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices. Driven by a 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, and we're looking for motivated engineers and researchers to join us on this journey.
As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms.
Responsibilities
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Contribute to building experiences that shape how people search and discover on Apple devices worldwide.
-
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
-
Develop and iterate on ML models end-to-end, from data preparation and training through evaluation and production deployment, including backend components using languages such as Go, Java, Python, and Scala.
-
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
-
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
-
Design and run A/B experiments, and contribute to automated testing, monitoring, and alerting to measure and maintain the health of production systems.
-
Present technical work to the team and participate in design and code reviews.
Minimum Qualifications
-
MS in Computer Science or a 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 distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus.
-
Familiarity with search, recommendation systems, conversational engines, or related domains.
-
Strong communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications
-
Ph.D. in Computer Science or a related subject area.
-
4+ years of relevant industry experience in ML or data systems.
-
Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution.
-
Familiarity with big data pipelines using Scala, Python, or Apache Spark.
-
Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration.
-
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 $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.
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, Apple Books, and Apple Fitness. The scale is massive, delivering content and entertainment in over 35 languages to more than 150 countries, while meeting Apple's high bar for 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 making a positive impact on 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, Fitness+, iTunes, and more, across a wide set of platforms including iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices. Driven by a 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, and we're looking for motivated engineers and researchers to join us on this journey.
As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms.
Responsibilities
-
Contribute to building experiences that shape how people search and discover on Apple devices worldwide.
-
Build and improve ML models and systems across surface areas such as retrieval, ranking, query understanding, and document understanding.
-
Develop and iterate on ML models end-to-end, from data preparation and training through evaluation and production deployment, including backend components using languages such as Go, Java, Python, and Scala.
-
Stay current with research in search, information retrieval, and generative AI, and apply new techniques to improve our systems.
-
Collaborate with engineers, researchers, and product teams to understand requirements and deliver high-quality solutions.
-
Design and run A/B experiments, and contribute to automated testing, monitoring, and alerting to measure and maintain the health of production systems.
-
Present technical work to the team and participate in design and code reviews.
Minimum Qualifications
-
MS in Computer Science or a 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 distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus.
-
Familiarity with search, recommendation systems, conversational engines, or related domains.
-
Strong communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications
-
Ph.D. in Computer Science or a related subject area.
-
4+ years of relevant industry experience in ML or data systems.
-
Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution.
-
Familiarity with big data pipelines using Scala, Python, or Apache Spark.
-
Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration.
-
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 $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 281+ 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.