AI Research Engineer Jobs at Apple with Visa Sponsorship
Apple's AI Research Engineer roles sit at the intersection of foundational research and large-scale product deployment, covering areas like machine learning, natural language processing, and on-device intelligence. Apple has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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INTRODUCTION
The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Staff Applied Researcher in Reasoning & Memory Systems. You will be working alongside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focused on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product.
Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv.org/pdf/2407.21075, (c) https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/
DESCRIPTION
We are seeking a candidate with a track record in algorithm development for agentic reasoning & memory. Key attributes expected in the role are fluency in algorithm development (prompt optimization and post training), strong expertise with relevant techniques (reinforcement learning, multimodal reasoning), and experience with automatic evaluation approaches for agentic workflow.
The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is desired.
MINIMUM QUALIFICATIONS
- PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience
- Strong ML and Generative Modeling fundamentals
- Strong expertise in one of the following: Reinforcement Learning, Multimodal Training, Pre-training / Post-training foundation models
- Proficiency in using ML toolkits, e.g., PyTorch
- Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm
PREFERRED QUALIFICATIONS
- Experience with building & deploying Multimodal-LLMs
- Familiarity with distributed training and large-scale data infrastructure
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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 $181,100 and $318,400, 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 System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Staff Applied Researcher in Reasoning & Memory Systems. You will be working alongside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focused on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product.
Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv.org/pdf/2407.21075, (c) https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/
DESCRIPTION
We are seeking a candidate with a track record in algorithm development for agentic reasoning & memory. Key attributes expected in the role are fluency in algorithm development (prompt optimization and post training), strong expertise with relevant techniques (reinforcement learning, multimodal reasoning), and experience with automatic evaluation approaches for agentic workflow.
The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is desired.
MINIMUM QUALIFICATIONS
- PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience
- Strong ML and Generative Modeling fundamentals
- Strong expertise in one of the following: Reinforcement Learning, Multimodal Training, Pre-training / Post-training foundation models
- Proficiency in using ML toolkits, e.g., PyTorch
- Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm
PREFERRED QUALIFICATIONS
- Experience with building & deploying Multimodal-LLMs
- Familiarity with distributed training and large-scale data infrastructure
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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 $181,100 and $318,400, 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 AI Research Engineer Jobs at Apple Jobs
Align your research portfolio to Apple's focus areas
Apple prioritizes on-device ML, privacy-preserving AI, and neural engine optimization. Structuring your portfolio around these areas before applying signals direct relevance, which strengthens both your candidacy and the specialty occupation case in your visa petition.
Request OPT STEM extension documentation early
If you're on F-1 OPT and joining Apple before your H-1B is approved, your employer must be E-Verify enrolled for a STEM OPT extension. Confirm this with Apple's immigration team immediately after your offer, since the 60-day window for filing leaves no room for delays.
Target teams with active research publications
Apple's machine learning research team publishes externally through the Apple Machine Learning Research blog. Roles attached to these teams are more likely to involve peer-reviewed research output, which directly supports an EB-1A or EB-2 NIW petition down the line.
Use Migrate Mate to find open AI Research Engineer roles at Apple
Apple posts these roles across multiple channels and listings turn over quickly. Use Migrate Mate to filter specifically for Apple AI Research Engineer roles with visa sponsorship so you're applying to current openings, not stale postings.
Document degree equivalency for non-U.S. qualifications before filing
USCIS requires a direct nexus between your degree field and the AI Research Engineer role. If your credential is from outside the U.S., get a course-by-course evaluation from a NACES-approved agency before your employer's immigration counsel files the I-129.
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Find AI Research Engineer at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for AI Research Engineers?
Yes, Apple sponsors H-1B visas for AI Research Engineers. The role qualifies as a specialty occupation given the requirement for at least a bachelor's degree in computer science, machine learning, or a related field. Apple files Labor Condition Applications with the DOL and handles the full I-129 petition process through its internal immigration team, typically working with outside counsel.
How do I apply for AI Research Engineer jobs at Apple?
Apply directly through Apple's careers site or use Migrate Mate to filter for AI Research Engineer roles at Apple that include visa sponsorship. Apple's hiring process for research roles typically involves a recruiter screen, technical phone interviews covering ML fundamentals and system design, and a research presentation for senior-level roles. Tailoring your application to Apple's published research areas improves your chances of clearing the initial screen.
Which visa types does Apple commonly use for AI Research Engineers?
Apple sponsors H-1B, H-1B1 (for Chilean and Singaporean nationals), E-3 (for Australian citizens), and TN visas (for Canadian and Mexican nationals in qualifying categories). For longer-term pathways, Apple also supports EB-2 and EB-3 Green Card sponsorship. F-1 OPT and CPT are used for candidates still completing degrees or in their post-graduation authorization period.
What qualifications does Apple expect for AI Research Engineer roles?
Apple's AI Research Engineer roles typically require a master's or Ph.D. in machine learning, computer science, or a related quantitative field, along with demonstrated research output such as publications or conference papers. Practical experience with frameworks like PyTorch or JAX and familiarity with on-device or privacy-preserving ML methods are frequently listed requirements. Industry research experience or internships at hardware-focused companies can strengthen your application.
How long does the visa sponsorship process take after an Apple offer?
Timelines vary by visa type. E-3 and TN visas can be processed in weeks since they don't require USCIS adjudication. H-1B petitions are cap-subject, meaning you'd need to be selected in the annual lottery with an October 1 start date. USCIS premium processing for H-1B is available for a faster adjudication decision, and Apple routinely uses it. Plan for at least six months between offer and start if you're on the H-1B cap track.
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