E-3 Visa Research Jobs
Research roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree or higher in a relevant field, think applied sciences, social research, data analysis, or laboratory science. The E-3 has no lottery and renews in two-year increments, making it a stable option for long-term research careers.
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Get Access To All JobsJoin the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.
Description
We are seeking an Applied Research Engineer to work on a core team with breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help shape next-generation intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences. This unique opportunity places you at the forefront of innovation, working on projects that redefine user experiences through advanced machine learning.
Responsibilities
- Advance self-improving systems that learn from deployment signals, adapt over time, and optimize performance autonomously in real-world environments.
- Design and operationalize agentic memory frameworks that enable long-horizon reasoning, contextual continuity, personalization, and durable knowledge across interactions.
- Contribute to the design and development of deeply personalized autonomous multi-agent systems capable of coordination, task decomposition, tool use, and dynamic collaboration to solve complex user problems.
- Contribute to product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and production-ready architectures.
- Influence platform strategy cross-functionally, assist in defining technical direction, and deliver scalable ML systems that integrate tightly across hardware, software, and services.
Minimum Qualifications
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience
Experience with machine learning through hands-on work in product development, prototyping, or research environments
Strong programming skills with experience in machine learning development
Understanding of transformer-based models
Ability to communicate technical concepts to team members
Experience with prototyping in ML/AI contexts
Preferred Qualifications
Knowledge of large language models (LLMs) and multi-modal foundation models
Experience with pre-training, fine-tuning, or performance optimization
Familiarity with AI systems capable of reasoning and task execution
Creativity and curiosity about applying AI capabilities to product experiences
Ability to implement research innovations into practical applications
Good collaborative skills and effective communication
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 $184,700 and $324,800, 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.
Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
At Apple, we don’t just build products; we create experiences that enrich the lives of billions. You have the unique opportunity to seamlessly integrate foundational AI research with world-class hardware and software, bringing cutting-edge technology to billions of users. Your work will have a far-reaching impact, setting precedents for how autonomous, deeply personalized AI technologies enrich lives across our entire product ecosystem.
Description
We are seeking an Applied Research Engineer to work on a core team with breakthrough innovation across self-improving systems, agentic memory, and deeply personalized autonomous multi-agent systems. You will help shape next-generation intelligent architectures that learn continuously, retain and reason over persistent memory, coordinate across agents, and translate frontier research into scalable product experiences. This unique opportunity places you at the forefront of innovation, working on projects that redefine user experiences through advanced machine learning.
Responsibilities
- Advance self-improving systems that learn from deployment signals, adapt over time, and optimize performance autonomously in real-world environments.
- Design and operationalize agentic memory frameworks that enable long-horizon reasoning, contextual continuity, personalization, and durable knowledge across interactions.
- Contribute to the design and development of deeply personalized autonomous multi-agent systems capable of coordination, task decomposition, tool use, and dynamic collaboration to solve complex user problems.
- Contribute to product-oriented research and rapid prototyping, translating foundational advances into validated user experiences and production-ready architectures.
- Influence platform strategy cross-functionally, assist in defining technical direction, and deliver scalable ML systems that integrate tightly across hardware, software, and services.
Minimum Qualifications
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or related technical field; or equivalent practical experience
Experience with machine learning through hands-on work in product development, prototyping, or research environments
Strong programming skills with experience in machine learning development
Understanding of transformer-based models
Ability to communicate technical concepts to team members
Experience with prototyping in ML/AI contexts
Preferred Qualifications
Knowledge of large language models (LLMs) and multi-modal foundation models
Experience with pre-training, fine-tuning, or performance optimization
Familiarity with AI systems capable of reasoning and task execution
Creativity and curiosity about applying AI capabilities to product experiences
Ability to implement research innovations into practical applications
Good collaborative skills and effective communication
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 $184,700 and $324,800, 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 5,069+ E-3 Visa Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Research Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Research
Translate your Australian credentials for U.S. employers
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa purposes, but your transcripts and degree certificates should explicitly list coursework. USCIS may request a credential evaluation if your degree field doesn't directly match the research role title.
Target institutions with established visa infrastructure
Universities, government-funded research labs, think tanks, and large pharmaceutical or biotech firms file LCAs regularly and have in-house HR processes for sponsoring international staff. Smaller private research consultancies may be willing but unfamiliar with E-3 mechanics, so ask whether they've sponsored before.
Confirm the role meets specialty occupation standards
A research position qualifies as a specialty occupation when a specific degree field is genuinely required, not just preferred. If the job posting says 'bachelor's degree in any field,' that language can disqualify the role for E-3 purposes, so request that the offer letter specifies the required discipline.
Get your LCA filed before scheduling your consulate appointment
The DOL must certify your Labor Condition Application before you can submit your DS-160 or schedule a consulate interview. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so you don't create delays by booking an appointment before certification is in hand.
Understand how fixed-term research contracts affect renewals
E-3 renewals require continued employer sponsorship, so grant-funded or project-based positions can create gaps when funding cycles end. Negotiate employment letters that reflect your ongoing role rather than a single grant period, and align your E-3 validity dates with your contract end dates to avoid status gaps.
Use prior publications and grants to demonstrate specialty occupation
If a consular officer questions whether your research role genuinely requires your specific degree, peer-reviewed publications, conference presentations, or competitive grant awards in your field serve as concrete evidence that the work is academically and professionally specialized, not general.
E-3 Visa Research: Frequently Asked Questions
How do I find Research jobs with 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 where sponsorship willingness is unclear, Migrate Mate surfaces research positions at employers with active E-3 and LCA filing history, so you're applying where sponsorship is already established practice.
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 a research role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree or higher in a specific academic discipline. Roles in applied sciences, data research, social science, laboratory work, or policy analysis typically qualify. The key is that the degree requirement must be real and field-specific, not a general preference for any bachelor's degree. Your offer letter should reflect that specificity.
How does the E-3 compare to the H-1B for research professionals?
The E-3 is available only to Australian citizens and has no lottery, meaning you can start the process as soon as you have a job offer. The H-1B visa requires entering an annual lottery with roughly a one-in-four selection rate and a cap of 85,000 slots per year. For Australians in research roles, the E-3 is a far more reliable and faster path to U.S. employment.
Can I switch research employers while on an E-3?
Yes, but you need a new LCA certified by the DOL and updated visa documentation before you start with the new employer. Unlike the H-1B, there's no portability rule that lets you begin work on receipt of a new petition. If you're already in the U.S., you can change employers but you must complete the LCA and filing process first, which typically takes a few weeks.