Social Media Green Card Sponsorship Jobs in California
Social media Green Card sponsorship jobs in California are concentrated at major tech and media employers across the San Francisco Bay Area and Los Angeles, including Meta, Google, Snap, and TikTok's U.S. operations. California's dominance in social platforms means sponsorship opportunities exist across content, growth, product, and engineering functions for international candidates pursuing permanent residency.
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Get Access To All JobsINTRODUCTION
Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement. This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Responsibilities:
- Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
- Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
- Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
- Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
- External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
- Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
PREFERRED QUALIFICATIONS:
- Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
- Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
- Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
- Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
- Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
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
- Salary Range: $177,000/year to $247,000/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
Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Data Scientist on this team, you will be responsible for the scientific rigor behind our frontier AI benchmarks. You will work in tandem with world-class Research Scientists and Engineers to design, validate, and analyze novel evaluations that shape the future of AI capability measurement. This role is for a technical Data Science expert who can bridge the gap between abstract model capabilities and rigorous, unbiased measurement. You will lead the charge on sampling strategies for various AI tasks, critically examine benchmark quality and validity, and perform deep-dive analysis on current frontier models’ failures and limitations. You will have the opportunity to conduct novel research, think creatively about measurement in uncharted territories, and contribute to the global AI community.
Responsibilities:
- Scientific Design & Validity: Lead the design of evaluation stimuli and benchmarks, ensuring they have minimal bias and high construct validity for frontier LLM capabilities
- Experimental Methodology: Design and execute effective sampling strategies and experimental frameworks to measure model performance and errors accurately
- Deep-Dive Analysis: Perform rigorous data and model error analyses to provide deep insights into model behavior, quality gaps, and failure modes
- Collaborative Research: Partner closely with Research Scientists and Engineers to translate organizational priorities into measurable, scientifically sound benchmarks
- External Impact: Drive the publication of novel evaluation research and the open-sourcing of benchmarks to influence the broader AI research community
- Strategic Influence: Use data-driven insights to influence research directions and major model development lines within MSL
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
PREFERRED QUALIFICATIONS:
- Advanced Quantitative Background: Master’s or Ph.D. in a quantitative or experimentation-heavy field (e.g., Statistics, Psychology, Economics, Quantitative Social Sciences, or a related technical field)
- Publication Record: Publications at top-tier peer-reviewed venues (e.g., NeurIPS, ICML, ICLR, ACL, or field-specific journals) related to measurement, evaluation, or experimental design
- Evaluation Expertise: Recognized expertise in language model evaluation, psychometrics, or the science of benchmarking
- Open Source & Community: A track record of open-source contributions to evaluation tools, datasets, or benchmarks
- Domain Knowledge: Familiarity with language model post-training, RLHF, or the nuances of LLM failure modes
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
- Salary Range: $177,000/year to $247,000/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.
Green Card Social Media Job Roles in California
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Search Social Media Jobs in CaliforniaSocial Media Green Card Sponsorship Jobs in California: Frequently Asked Questions
Which social media companies in California sponsor Green Cards for employees?
Meta (Menlo Park), Google (Mountain View), Snap (Santa Monica), Pinterest (San Francisco), and Reddit (San Francisco) are among the California-based social media companies with established Green Card sponsorship programs. These employers regularly file PERM labor certifications and I-140 immigrant visa petitions for international employees across technical, product, and marketing functions, as reflected in Department of Labor disclosure data.
Which California cities have the most social media Green Card sponsorship jobs?
The San Francisco Bay Area, particularly San Francisco, Menlo Park, Mountain View, and San Jose, holds the highest concentration of social media Green Card sponsorship roles in California. Los Angeles and Santa Monica are significant secondary markets, driven by Snap's headquarters and the entertainment-adjacent creator economy. These cities host both large platform employers and the agencies that support them.
What types of social media roles typically qualify for Green Card sponsorship in California?
Roles most commonly sponsored are those requiring a bachelor's degree or higher in a specific field, including software engineering, data science, product management, UX research, and digital marketing strategy. Content moderation, community management, and social media coordinator positions are less frequently sponsored because the degree-to-role connection is harder to establish under PERM requirements. Specialty occupation status under EB-2 or EB-3 classifications typically favors technically specialized or analytically focused positions.
How do I find social media Green Card sponsorship jobs in California?
Migrate Mate is built specifically to surface visa sponsorship jobs for international candidates, including social media roles with Green Card sponsorship in California. You can filter by visa type and state to see which California employers are actively hiring and have sponsorship programs. This removes the guesswork of identifying sponsoring employers from general job listings, which rarely disclose sponsorship intent upfront.
Are there California-specific considerations for Green Card sponsorship in social media?
California's competitive tech labor market means PERM prevailing wage determinations often reflect higher wage levels, which can affect employer willingness to initiate sponsorship for certain roles. California also prohibits non-compete agreements, which can make employer-sponsored Green Card timelines feel less binding than in other states. Indian and Chinese nationals should account for visa bulletin backlog dates under EB-2 and EB-3, as priority dates significantly affect overall timelines regardless of where in California the job is located.
What is the prevailing wage for Green Card social media jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.