E-3 Visa AI Researcher Jobs
AI Researcher roles in the U.S. qualify for E-3 visa sponsorship when the position requires a relevant bachelor's degree or higher in computer science, machine learning, or a related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian researchers targeting roles at labs, universities, and tech companies.
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Get Access To All JobsINTRODUCTION
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 AI Research 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
You will work on advancing the capabilities of foundation models and guiding them toward real-world applications in Apple products. This includes researching and developing methods that improve alignment, reasoning, and adaptation of large models to practical use cases, while ensuring they meet Apple’s standards for efficiency, scalability, and privacy. You will focus on creating customized foundation models with targeted capabilities that operate efficiently in constrained environments, supporting the next generation of intelligence across Apple’s ecosystem.
Your work includes staying ahead of emerging research and identifying techniques that are suitable for real-world deployment, helping translate scientific advancements into production-quality solutions. You will design and optimize large-scale data pipelines that support robust training and detailed evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new techniques that strengthen focused reasoning, multimodal understanding, and adaptive behavior, enabling models that perform well at large scale while also being tailored for specific Apple experiences, from cloud systems to on-device intelligence.
Collaboration is essential in this role. You will partner with multi-functional teams of engineers and researchers to bring customized and efficient models into Apple products, ensuring smooth integration and enabling intelligent and natural user experiences throughout the ecosystem.
MINIMUM QUALIFICATIONS
- Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow).
- Experience working with large-scale training pipelines and distributed systems.
- 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 related field with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc).
- Experience with full stack of foundation model training (vision-language).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Ability to work effectively in a multi-functional, collaborative environment.
- Experience with advanced reasoning or reinforcement learning methods.
- Experience with model distillation using on-policy or off-policy techniques.
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.
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.
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 AI Research 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
You will work on advancing the capabilities of foundation models and guiding them toward real-world applications in Apple products. This includes researching and developing methods that improve alignment, reasoning, and adaptation of large models to practical use cases, while ensuring they meet Apple’s standards for efficiency, scalability, and privacy. You will focus on creating customized foundation models with targeted capabilities that operate efficiently in constrained environments, supporting the next generation of intelligence across Apple’s ecosystem.
Your work includes staying ahead of emerging research and identifying techniques that are suitable for real-world deployment, helping translate scientific advancements into production-quality solutions. You will design and optimize large-scale data pipelines that support robust training and detailed evaluation of foundation models, working with massive multimodal datasets to push the limits of performance. You will explore new techniques that strengthen focused reasoning, multimodal understanding, and adaptive behavior, enabling models that perform well at large scale while also being tailored for specific Apple experiences, from cloud systems to on-device intelligence.
Collaboration is essential in this role. You will partner with multi-functional teams of engineers and researchers to bring customized and efficient models into Apple products, ensuring smooth integration and enabling intelligent and natural user experiences throughout the ecosystem.
MINIMUM QUALIFICATIONS
- Proficient programming skills in Python and experience with at least one modern deep learning framework (PyTorch, JAX, or TensorFlow).
- Experience working with large-scale training pipelines and distributed systems.
- 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 related field with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc).
- Experience with full stack of foundation model training (vision-language).
- Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
- Ability to work effectively in a multi-functional, collaborative environment.
- Experience with advanced reasoning or reinforcement learning methods.
- Experience with model distillation using on-policy or off-policy techniques.
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.
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.
See all 473+ AI Researcher jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Researcher
Frame your research credentials for U.S. specialty occupation
Your Australian PhD or honours thesis needs to map directly to the posted job requirements. Translate your research focus into the specific machine learning subfields the employer lists, because the E-3 specialty occupation standard requires a tight degree-to-role match.
Target employers with active AI research divisions
Focus on organisations that publish research through arXiv, NeurIPS, or ICML, because employers already engaged in original AI research understand the E-3 filing process and are far more likely to sponsor without needing to be educated on what the visa requires.
Clarify the LCA requirement before accepting an offer
Before you sign, confirm your employer knows the DOL Labor Condition Application must be certified before your consulate appointment. Some research teams assume the process starts at the consulate, which creates delays between your offer date and your start date.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
E-3 filings for AI Researcher roles often require supplementary documentation to establish specialty occupation when the job title is broad. Use Migrate Mate's E-3 filing service to handle your LCA, visa paperwork, and consulate preparation so nothing falls through the gaps.
Address your three-year degree early in negotiations
Australian bachelor's degrees are three years, and some U.S. hiring teams flag this during E-3 review. Get your employer's legal team to confirm DOL and USCIS treat Australian three-year degrees as equivalent to U.S. four-year degrees before the LCA is filed.
Prepare for specialisation questions at your consulate interview
Consular officers frequently ask AI Researchers to explain how their degree field connects to their specific research responsibilities. Prepare a clear, jargon-free explanation linking your academic background to the job's defined scope, supported by your offer letter and LCA.
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Find AI Researcher JobsAI Researcher E-3 Visa: Frequently Asked Questions
How do I find AI Researcher jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. Rather than filtering through general job boards, Migrate Mate surfaces AI Researcher positions at employers already familiar with the E-3 process, so you spend less time explaining the visa and more time interviewing.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Researcher role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a directly related field such as computer science, mathematics, or engineering. Roles focused on applied machine learning, deep learning research, or statistical modelling consistently meet the specialty occupation standard. Where job titles are broad, like 'research scientist,' your offer letter and LCA job description need to specify the degree requirement explicitly.
How does the E-3 visa compare to the H-1B for AI Researcher roles?
The E-3 has no annual cap and no lottery, so your employer can file at any time of year and you start as soon as the consulate approves your visa. The H-1B is subject to an annual lottery with roughly a one-in-four selection rate for most applicants. For Australian AI Researchers, the E-3 is a direct path that bypasses the uncertainty that derails many H-1B candidates.
Can I switch AI Researcher employers while on an E-3 visa?
Yes, but your new employer must file a fresh LCA with the DOL and you will need a new E-3 visa reflecting the updated employer details before you begin work. There is no portability provision equivalent to the H-1B's, so the timing of your transition matters. Plan for at least a few weeks between your accepted offer and your consulate appointment when coordinating the change.
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