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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INTRODUCTION
The Meta AI team is working on advances in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are focused on improving recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to advancing recommendation systems to improve user experiences across Facebook, Instagram, Threads, and more.
ROLE AND RESPONSIBILITIES
AI Research Scientist - Language - Meta AI (MRS) Responsibilities:
- Collaborate and execute on research that pushes forward the state of the art in large language model research
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
MINIMUM QUALIFICATIONS
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics
- Direct experience in generative AI and LLM research
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
PREFERRED QUALIFICATIONS
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience working and communicating cross-functionally in a team environment
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in 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 visa 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.
E-3 Visa AI Researcher: 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 visa 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.