Applied AI Engineer Jobs at Apple with Visa Sponsorship
Applied AI Engineer jobs at Apple sit at the intersection of machine learning research and product-scale deployment, spanning frameworks like Core ML, on-device inference, and Apple Silicon optimization. Apple sponsors a broad range of work visas for this function, making it a realistic target for international engineers with the right technical background.
Find Applied AI Engineer Jobs at AppleOverview
Showing 5 of 50+ Applied AI Engineer Jobs at Apple










See all 50+ Applied AI Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer Jobs at Apple.
Get Access To All Jobs
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.
ROLE AND RESPONSIBILITIES
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.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
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 $205,400 and $308,500, 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 50+ Applied AI Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Applied AI Engineer Jobs at Apple
Align your portfolio to Apple's on-device AI stack
Apple's Applied AI roles prioritize experience with on-device inference, model compression, and privacy-preserving ML. Before applying, restructure your portfolio to surface projects using Core ML, Metal Performance Shaders, or similar edge deployment frameworks that reflect Apple's product constraints.
Target roles across multiple Apple orgs
Applied AI Engineer openings at Apple appear across Siri, Photos, Health, and the Platform Architecture group. Each org has different hiring velocity, so tracking postings across all of them increases your chances of landing in an active headcount cycle rather than a frozen one.
Clarify your visa type before the offer stage
Apple sponsors several nonimmigrant categories, and which one applies to you affects timeline and cost. Australians on E-3 and Canadians on TN move faster through the process than H-1B cap-subject applicants, so surface your citizenship early so the recruiting team routes you correctly.
Understand the H-1B cap and its timing constraints
If you need a cap-subject H-1B, USCIS only accepts registrations in March for an October 1 start. If you miss the lottery window or aren't selected, you'll need to negotiate a delayed start or explore whether Apple can convert an existing status like F-1 OPT as a bridge.
Verify your OPT STEM extension eligibility early
Apple is E-Verify enrolled, which is a requirement for the 24-month STEM OPT extension. If you're on F-1 OPT with a degree in computer science, electrical engineering, or a related CIP-coded field, confirm your eligibility with your DSO before accepting an offer to avoid gaps in work authorization.
Use Migrate Mate to filter Apple AI roles by visa type
Applied AI Engineer jobs at Apple don't always surface easily when filtered by sponsorship on general job boards. Migrate Mate lets you search specifically for Apple roles that match your visa category, so you're not wasting applications on postings that won't support your situation.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Applied AI Engineers?
Yes, Apple sponsors H-1B visas for Applied AI Engineer roles. If you're subject to the annual H-1B cap, your employer registration must be submitted in March for a lottery draw, with employment starting no earlier than October 1. Apple also sponsors H-1B1 visas for Chilean and Singaporean nationals, which bypass the lottery entirely.
How do I apply for Applied AI Engineer jobs at Apple?
Apply through Apple's careers portal at jobs.apple.com or browse filtered listings on Migrate Mate, which surfaces roles by visa sponsorship type. Applied AI Engineer positions at Apple typically require a technical screen, followed by multiple rounds covering ML system design, coding, and a domain-specific deep dive relevant to the team you're interviewing with.
Which visa types does Apple commonly use for Applied AI Engineers?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, F-1 OPT, and F-1 CPT for Applied AI Engineer roles, as well as employment-based Green Card categories including EB-2 and EB-3. The right category depends on your nationality and current status. Australians typically use the E-3 visa, Canadians the TN visa, and most others the H-1B, subject to the annual lottery.
What qualifications does Apple expect for Applied AI Engineer roles?
Apple's Applied AI Engineer roles generally require a master's or PhD in machine learning, computer science, or electrical engineering, combined with hands-on experience deploying models at scale. Familiarity with Apple's specific constraints, including on-device inference, low-latency pipelines, and privacy-first architectures, carries significant weight alongside general deep learning expertise.
How long does the visa sponsorship process take for an Apple Applied AI Engineer offer?
Timeline depends heavily on visa type. E-3 and TN approvals can happen within weeks of an offer. H-1B transfers for existing H-1B holders can begin on the date USCIS receives the petition. Cap-subject H-1B candidates face a longer path, with employment starting no earlier than October 1 following a March lottery registration. USCIS premium processing can reduce adjudication to 15 business days once the petition is filed.