Artificial Intelligence Scientist Jobs at Apple with Visa Sponsorship
Artificial Intelligence Scientist jobs at Apple sit at the intersection of research and product, spanning machine learning, natural language processing, and on-device intelligence. Apple has a consistent track record of sponsoring international AI researchers across multiple visa categories, making it a realistic target for qualified candidates who need work authorization.
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INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.
DESCRIPTION
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
MINIMUM QUALIFICATIONS
- Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).
- Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
- Experience with rapid prototyping, reproduction, and validation of research ideas.
- Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
PREFERRED QUALIFICATIONS
- PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
- Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc), or a strong track record of applying deep learning techniques to real-world products.
- Experience with foundation models (language or multimodal).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Experience fine-tuning or optimizing large models for production deployment.
- Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
- Familiarity with privacy-preserving or on-device machine learning.
- Ability to work effectively in a multi-functional, collaborative environment.
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 $139,500 and $258,100, 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 Artificial Intelligence Scientist Jobs at Apple
Align your research to Apple's AI focus areas
Apple's AI hiring centers on on-device inference, privacy-preserving machine learning, and foundation models for Siri and Vision Pro. Tailor your resume and publications to these areas before applying. Generic ML experience is harder to position than targeted research alignment.
Prioritize roles with OPT CPT on your resume
If you're on F-1 OPT, Apple's recruiting team can onboard you immediately without waiting for visa processing. Flag your OPT expiration date early in conversations so the team can plan your H-1B filing around the October 1 cap-subject start date.
Target Apple's research labs not just product teams
Apple ML Research posts Artificial Intelligence Scientist roles separately from product engineering. These research positions are more likely to support candidates requiring visa sponsorship and have a clearer pathway through the PERM-based Green Card process for specialized researchers.
Use Migrate Mate to surface active AI roles at Apple
Apple posts Artificial Intelligence Scientist openings across multiple internal portals and they disappear quickly. Migrate Mate filters Apple's active listings by visa sponsorship type, so you can identify and apply to the right roles before they close.
Prepare a strong publication and patent record early
Apple's AI recruiting process for scientists almost always includes a research presentation round. Peer-reviewed publications, NeurIPS or ICML papers, or granted patents in your field are concrete credentials that also strengthen an EB-2 National Interest Waiver or EB-1A petition later.
Clarify your visa category with your Apple recruiter upfront
Apple sponsors multiple visa types for AI scientists, including H-1B, E-3 for Australians, and TN for Canadians. Ask your recruiter which category applies to your situation before the offer stage so your start date and DOL Labor Condition Application timeline are planned correctly.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Artificial Intelligence Scientists?
Yes, Apple sponsors H-1B visas for Artificial Intelligence Scientists. Because H-1B cap-subject petitions are subject to an annual lottery, Apple typically files in March for an October 1 start date. Candidates already in H-1B status with another employer can transfer to Apple outside the cap, which removes the lottery risk entirely.
How do I apply for Artificial Intelligence Scientist jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Search for Artificial Intelligence Scientist or ML Research roles and filter by the relevant team, such as Apple ML Research or Siri and Information Intelligence. Migrate Mate also aggregates Apple's active AI openings filtered by visa sponsorship type, which makes it easier to find roles that match your authorization needs.
Which visa types does Apple commonly sponsor for Artificial Intelligence Scientist roles?
Apple sponsors H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, and TN visas for Canadian and Mexican nationals in qualifying roles. For longer-term permanent residence, Apple supports EB-2 and EB-3 Green Card petitions through the PERM labor certification process, and strong researchers may qualify for EB-1A extraordinary ability self-petitions.
What qualifications does Apple expect for Artificial Intelligence Scientist positions?
Most Artificial Intelligence Scientist roles at Apple require a PhD in machine learning, computer science, or a closely related field, though candidates with a master's degree and substantial research experience are considered for some positions. Apple particularly values work on on-device or privacy-preserving ML, published research at venues like NeurIPS, ICML, or CVPR, and experience shipping models into production at scale.
How long does the visa sponsorship process take once Apple extends an offer?
Timeline depends on visa type. E-3 and TN visas can be processed in weeks through consular appointment or port of entry. H-1B cap-subject cases follow a fixed USCIS calendar, with the lottery in March and employment starting October 1. Premium processing, currently available for H-1B petitions, speeds USCIS adjudication to 15 business days but does not accelerate the October 1 start date for new cap-subject cases.