E-3 Visa AI Research Scientist Jobs
AI Research Scientist roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. Australian nationals can secure two-year renewable status with no lottery and no annual cap, making this one of the most direct paths to U.S. research positions in machine learning, NLP, and applied AI.
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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 158+ AI Research Scientist jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Research Scientist
Frame your research output for U.S. employers
Convert publications, conference presentations, and model benchmarks into concrete outcomes on your CV. U.S. hiring managers for AI Research Scientist roles evaluate research impact differently than Australian academia, so quantify improvements in accuracy, latency, or scale.
Target employers with active LCA filing history
Search DOL's public LCA disclosure data to confirm which employers have previously certified AI or machine learning roles. This filters out companies unfamiliar with E-3 sponsorship before you invest time in their process.
Clarify specialty occupation status early in interviews
E-3 eligibility hinges on the role qualifying as a specialty occupation. Ask the recruiter whether the job description requires a degree in a specific field like computer science or AI, not just any bachelor's degree, before you proceed to offer stage.
Use Migrate Mate's E-3 filing service for your LCA
The LCA must be DOL-certified before your consulate appointment, and errors in the employer's job classification or prevailing wage level can delay or sink your application. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end.
Prepare your academic equivalency documentation
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but bring your official transcripts and a credential evaluation letter to your consulate appointment in case the officer asks.
Book your consulate appointment immediately after LCA certification
AI Research Scientist roles often have urgent start dates, and consulate wait times at Sydney, Melbourne, and Perth vary significantly by season. Schedule your appointment the day your certified LCA arrives to avoid a six-week delay compressing your onboarding window.
AI Research Scientist jobs are hiring across the US. Find yours.
Find AI Research Scientist JobsAI Research Scientist E-3 Visa: Frequently Asked Questions
How do I find AI Research Scientist jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces AI Research Scientist roles at employers with documented E-3 and H-1B sponsorship history, so you're not cold-applying to companies that will decline when sponsorship comes up. Filter by role, location, and visa type to build a targeted list of employers already set up to hire Australians.
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 Research Scientist role qualify as a specialty occupation for the E-3?
Yes, in most cases. The E-3 requires the role to be a specialty occupation, meaning it normally requires at least a bachelor's degree in a specific field directly related to the position. AI Research Scientist roles typically require a degree in computer science, machine learning, statistics, or a closely related discipline, which satisfies this requirement. If a job posting says 'bachelor's preferred' rather than 'required,' that can undermine the specialty occupation case.
How does the E-3 compare to the H-1B for AI Research Scientist roles?
The E-3 is substantially more practical for Australians pursuing AI research roles. There's no lottery, no annual cap, and you can apply at a U.S. consulate directly after receiving a job offer and a certified LCA. The H-1B requires lottery selection in April, a wait until October 1 for the start date, and employer petition costs that can exceed several thousand dollars. For the same specialty occupation role, the E-3 path is faster and more predictable.
Can I switch AI Research Scientist employers on an E-3 visa?
Yes, but each employer change requires a new LCA and typically a new consulate appointment. Unlike some visa categories, the E-3 doesn't have a formal portability rule that lets you start work immediately upon filing. Your new employer needs a certified LCA before you can work for them, so build at least four to six weeks into your transition timeline to avoid a gap in authorized employment.
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