Social Media E-3 Sponsorship Jobs in California
Social media E-3 visa sponsorship jobs in California are concentrated in the San Francisco Bay Area and Los Angeles, where companies like Meta, Snap, Pinterest, and YouTube parent Google maintain large content and marketing teams. Australian professionals in social strategy, content management, and paid social can find consistent E-3 sponsorship demand across both tech-heavy and entertainment-adjacent employers throughout the state.
Find Social Media JobsOverview
Showing 5 of 156+ Social Media E-3 Sponsorship Jobs in California
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 156+ Social Media E-3 Sponsorship Jobs in California
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Social Media E-3 Sponsorship Jobs in California.
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.
E-3 Social Media Job Roles in California
See all 156+ Social Media E-3 Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Social Media Jobs in CaliforniaSocial Media E-3 Sponsorship Jobs in California: Frequently Asked Questions
Which social media companies in California sponsor E-3 visas?
Meta (headquartered in Menlo Park), Snap (Los Angeles), Pinterest (San Francisco), and YouTube/Google (San Bruno and Mountain View) are among the California-based companies with established records of sponsoring work visas for social media roles. Larger tech and media companies tend to have dedicated HR and immigration teams that handle E-3 visa applications more routinely than smaller startups, though sponsorship is never guaranteed and varies by role and hiring cycle.
Which cities in California have the most social media E-3 sponsorship jobs?
San Francisco and the broader Bay Area account for a significant share of California's social media hiring, particularly for roles tied to product, growth, and content strategy at established tech platforms. Los Angeles is a strong secondary market, especially for creator economy, influencer marketing, and brand social roles connected to the entertainment industry. Smaller clusters also exist in San Diego and Santa Monica, where digital media agencies are active.
What types of social media roles typically qualify for E-3 sponsorship?
E-3 visa eligibility requires the role to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a specific field. Social media roles that commonly meet this standard include social media manager, content strategist, digital marketing manager, paid social specialist, and community manager positions where employers specify a degree in marketing, communications, or a related discipline. Generalist roles with flexible degree requirements may face more scrutiny during the petition process.
How do I find social media E-3 sponsorship jobs in California?
Migrate Mate is built specifically for Australian professionals seeking E-3 sponsorship, and filters jobs by visa type, state, and industry. Searching for social media roles in California on Migrate Mate surfaces positions from employers already familiar with E-3 sponsorship, which saves time compared to approaching companies that have no prior experience with the visa category. Focusing your search on the Bay Area and Los Angeles will return the highest volume of relevant results.
Are there California-specific considerations for E-3 sponsorship in social media?
California's strong worker protection laws do not create additional obstacles for E-3 sponsorship, but they do mean employers are accustomed to detailed employment agreements, which can support a well-documented petition. The state's concentration of large tech employers also means many California-based social media companies have in-house immigration counsel experienced with E-3 filings. However, the high cost of living in San Francisco and Los Angeles is worth factoring into your job search and offer evaluation.
What is the prevailing wage for E-3 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.