Social Media H-1B1 Chile Sponsorship Jobs in California
California's social media industry spans from Silicon Valley to Los Angeles, with companies like Meta, Snap, Pinterest, and TikTok U.S. regularly filing H-1B1 Chile Labor Condition Applications for specialist roles. Chilean professionals in content strategy, paid social, and social analytics will find the deepest concentration of sponsoring employers in San Francisco, San Jose, and Los Angeles.
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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
H-1B1 Chile Social Media Job Roles in California
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Search Social Media Jobs in CaliforniaSocial Media H-1B1 Chile Sponsorship Jobs in California: Frequently Asked Questions
Which social media companies sponsor H-1B1 Chile visas in California?
California-headquartered social media companies with documented H-1B1 Chile LCA filings include Meta, Snap, Pinterest, and TikTok U.S.. Broader technology companies with active social media divisions, such as Google and Adobe, have also filed LCAs covering social media specialist roles in California. Reviewing OFLC Labor Condition Application disclosure data will show which employers have certified positions at California worksites within your target role category.
Which cities in California have the most social media H-1B1 Chile sponsorship jobs?
San Francisco and the broader Bay Area account for the highest concentration of social media H-1B1 Chile sponsorship activity, given the density of platform companies headquartered there. Los Angeles has grown significantly as a hub for creator-economy and influencer-marketing roles at companies including Snap and TikTok U.S.. San Jose and Santa Monica also appear regularly in LCA filings for social media specialist positions at California worksites.
What types of social media roles typically qualify for H-1B1 Chile sponsorship?
The H-1B1 visa requires the position to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a directly related field. Social media roles that commonly meet this standard include social media strategist, paid social analyst, social content manager with a marketing or communications degree requirement, and social data analyst with a quantitative or analytics background. Generalist coordinator roles with no specific degree requirement are less likely to qualify.
How do I find social media H-1B1 Chile sponsorship jobs in California?
Migrate Mate filters job listings by visa type, state, and industry, so you can search specifically for California social media roles where employers have H-1B1 Chile filing history verified through DOL LCA disclosure data. This removes the guesswork of identifying which companies are willing to sponsor. You can also cross-reference OFLC Wage Search to confirm prevailing wage levels for specific social media job titles at California worksites before applying.
Are there any California-specific or industry-specific considerations for H-1B1 Chile sponsorship in social media?
California's own employment laws, including strict rules on non-compete agreements and employee classification, can affect how social media roles are structured at sponsoring employers. For H-1B1 Chile holders, the visa is employer-specific and worksite-specific, so a role change or shift to remote work at a different California location may require a new or amended LCA filing. Social media companies in California often use contractors for content roles, but H-1B1 sponsorship applies only to direct employment relationships.
What is the prevailing wage for H-1B1 Chile 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.