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.
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Get Access To All JobsAbout Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What You’ll Do
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What We’re Looking For
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Compensation
- Salary Range: $189,721—$332,012 USD
The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only
About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What You’ll Do
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What We’re Looking For
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Compensation
- Salary Range: $189,721—$332,012 USD
The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only
E-3 Social Media Job Roles in California
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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.