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
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.
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.
See all 168+ E-3 Visa AI Research Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Research Scientist Jobs.
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 visa 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.
E-3 Visa AI Research Scientist: 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 visa 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.