Social Media H-1B Sponsorship Jobs in California
H-1B visa sponsorship jobs in social media are concentrated in California, home to Meta, Snap, Pinterest, and TikTok's U.S. operations, all headquartered or heavily staffed across the San Francisco Bay Area and Los Angeles. Roles span content strategy, data analytics, product management, and engineering, with the state accounting for a significant share of H-1B filings in this industry.
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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.
H-1B Social Media Job Roles in California
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Search Social Media Jobs in CaliforniaSocial Media H-1B Sponsorship Jobs in California: Frequently Asked Questions
Which social media companies in California sponsor H-1B visas?
Several of the largest social media employers in California have documented H-1B visa sponsorship histories based on Department of Labor LCA disclosure data. Meta (Menlo Park), Snap (Santa Monica), Pinterest (San Francisco), and TikTok's U.S. entity (Culver City) appear regularly in filings. Smaller platforms and social media agencies operating in the Bay Area and Los Angeles also file H-1B petitions, particularly for technical and analytical roles.
Which cities in California have the most social media H-1B sponsorship jobs?
San Francisco and the broader Bay Area, including Menlo Park and San Jose, account for the largest concentration of social media H-1B roles in California, driven by Meta and Pinterest headquarters. Los Angeles and the adjacent Westside cities, particularly Culver City and Santa Monica, have grown significantly as Snap and TikTok's U.S. teams expanded. San Diego has a smaller but active presence through marketing technology firms.
What types of social media roles typically qualify for H-1B sponsorship?
H-1B sponsorship applies to specialty occupations requiring at least a bachelor's degree in a directly related field. In social media, roles that commonly meet this standard include software engineers, data scientists, product managers, UX researchers, and digital marketing analysts with quantitative or technical degree requirements. Generalist community management or content creation roles may face more difficulty qualifying if the position does not require a specific degree field.
How do I find social media H-1B sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters social media H-1B sponsorship jobs in California by company, city, and role type. Rather than sorting through general job boards and guessing which employers sponsor visas, Migrate Mate surfaces California-based social media positions from employers with verified H-1B sponsorship histories, helping you focus your applications on companies that have demonstrably filed petitions in this industry.
Are there California-specific considerations for H-1B sponsorship in social media?
California's strong employment protections do not alter federal H-1B requirements, but they do affect how employers structure offers and employment agreements. Because California prohibits most non-compete clauses, H-1B holders in social media roles have more flexibility to change employers within the state. The high concentration of H-1B-dependent employers in the Bay Area and LA also means some companies are subject to additional attestation requirements under federal law when more than 15 percent of their workforce holds H-1B status.
What is the prevailing wage for H-1B 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.