Social Media STEM OPT Jobs in California
Social media F-1 STEM OPT sponsorship jobs in California are concentrated at large tech platforms headquartered in the Bay Area and Los Angeles, including Meta, Google, Snap, and Pinterest. Data science, machine learning, and analytics roles at these employers frequently qualify for STEM OPT authorization, making California one of the most active states for this visa category.
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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 4,000 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. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
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
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What We’re Looking For
- 2+ 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)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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.
US based applicants only
$189,721—$332,012 USD
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.
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 4,000 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. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
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
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What We’re Looking For
- 2+ 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)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. 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.
US based applicants only
$189,721—$332,012 USD
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.
STEM OPT Social Media Job Roles in California
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Search Social Media Jobs in CaliforniaSocial Media STEM OPT Sponsorship Jobs in California: Frequently Asked Questions
Which social media companies in California sponsor F-1 STEM OPT visas?
Several large social media and tech companies with California headquarters have filed Labor Condition Applications for roles, including Meta (Menlo Park), Snap (Santa Monica), Pinterest (San Francisco), and Google (Mountain View). Mid-size companies focused on social analytics and content technology also appear in DOL disclosure data. Sponsorship eligibility depends on the specific role, employer, and whether the position meets STEM OPT criteria.
Which cities in California have the most social media F-1 STEM OPT sponsorship jobs?
San Francisco and the broader Bay Area account for the highest concentration of social media STEM OPT roles in California, driven by headquarters and engineering offices for major platforms. Los Angeles, particularly Santa Monica and Culver City, is a strong second due to Snap and several media-tech companies. San Diego has a smaller but growing cluster of social media analytics employers.
What types of social media roles typically qualify for F-1 STEM OPT sponsorship?
Roles that align with designated STEM degree fields are most likely to qualify. In social media, these typically include data scientist, machine learning engineer, software engineer, product analyst, and growth analyst positions. Content strategy or community management roles generally do not qualify unless paired with a quantitative function. Your degree field must match the job classification for USCIS to recognize the role as STEM OPT eligible.
How do I find social media F-1 STEM OPT sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa type and state, so you can search for social media roles in California that have verified F-1 STEM OPT sponsorship history. This saves time compared to manually reviewing DOL Labor Condition Application records. Focus your search on data, engineering, and analytics titles at California-based social media companies, as those categories have the highest match rate with STEM OPT requirements.
Are there any California-specific considerations for F-1 STEM OPT sponsorship in social media?
California's labor laws require employers to provide certain disclosures and benefits that can affect how companies structure sponsorship. The state's high concentration of STEM-focused universities means competition for open STEM OPT roles at social media companies can be significant. California employers must also comply with E-Verify requirements for certain federal contractors, which affects how they onboard F-1 STEM OPT employees. Confirming E-Verify enrollment with a prospective employer is a practical step before accepting an offer.