Green Card AI Research Scientist Jobs
AI Research Scientist roles at U.S. research labs, tech companies, and universities regularly qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process. Your employer files on your behalf, and a doctoral or master's degree in machine learning, computer science, or a related field typically anchors the petition.
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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 219+ Green Card AI Research Scientist Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Research Scientist
Align your credentials to EB-2 requirements
A U.S.-equivalent master's or doctoral degree in AI, machine learning, or computer science is the standard anchor for EB-2 petitions. If your foreign degree is a three-year program, obtain a credential evaluation before your employer begins the PERM process.
Target employers with active PERM filing history
Search the OFLC Foreign Labor Application Gateway disclosure data for AI Research Scientist or related SOC codes to find employers who have filed PERM cases recently. Published filings show actual job titles, worksites, and prevailing wage levels used.
Use Migrate Mate to find green card sponsoring roles
Filter by EB-2 or EB-3 sponsorship and AI Research Scientist titles on Migrate Mate to surface employers with verified green card filing history. This removes the guesswork of cold-applying to companies that have never sponsored a permanent resident.
Verify your prevailing wage before the offer stage
Your employer must pay at least the DOL prevailing wage for your location and experience level. Use the OFLC Wage Search to check the Level II or Level III wage for your target metro before negotiating, since PERM is rejected if the offered wage falls below it.
Clarify the PERM timeline during offer negotiations
PERM recruitment and DOL review currently take six to eighteen months before your employer can file the I-140 with USCIS. Ask at the offer stage whether the company runs PERM concurrently with onboarding or waits for a performance milestone.
Document research publications and patents early
USCIS officers scrutinize whether an AI Research Scientist role genuinely requires an advanced degree. Published papers, patents, and conference presentations in your application packet strengthen both the EB-2 job requirements argument and your own qualifying credentials.
Green Card AI Research Scientist: Frequently Asked Questions
Does an AI Research Scientist role qualify for EB-2 or EB-3 sponsorship?
Most AI Research Scientist positions qualify for EB-2 because employers routinely require a master's or doctoral degree in computer science, machine learning, or a related field as a minimum job requirement. If the employer's posted requirements specify only a bachelor's degree, the role defaults to EB-3. The distinction matters because EB-2 priority dates move faster for most countries outside of India and China.
How does PERM green card sponsorship differ from H-1B for this role?
An H-1B visa is a temporary nonimmigrant status with a six-year maximum and an annual lottery. PERM-based sponsorship leads to lawful permanent residency with no renewal cycle and no cap lottery at the EB-3 level for most countries. The trade-off is time: PERM labor certification, I-140 approval, and adjustment of status can take two to five years depending on your country of birth and USCIS workload.
What happens to my green card case if I change employers mid-process?
If you change employers before USCIS approves your I-140, your PERM filing is abandoned and your new employer must restart the process from scratch. After I-140 approval and once your priority date is current, portability rules under AC21 let you move to a same or similar role without losing your place in the queue, provided your adjustment of status application has been pending for at least 180 days.
Where can I find AI Research Scientist jobs that already offer green card sponsorship?
Migrate Mate filters job listings by EB-2 and EB-3 sponsorship history so you're only seeing employers who have filed PERM cases for this type of role. You can also cross-reference the DOL OFLC disclosure data directly by searching for AI Research Scientist SOC codes to confirm a company's recent labor certification activity before applying.
Can my employer sponsor me for a National Interest Waiver instead of going through PERM?
A National Interest Waiver, or NIW, lets qualified EB-2 candidates self-petition without employer sponsorship or PERM labor certification, but the burden is on you to demonstrate that your AI research work benefits the United States broadly. USCIS evaluates the importance of your research, your ability to advance it, and whether the national benefit outweighs the standard labor market test. It's a strong option for researchers with published work and institutional backing.