Social Media OPT Jobs in Texas
Social media F-1 OPT sponsorship jobs in Texas are concentrated in Austin and Dallas, where agencies, tech companies, and consumer brands actively hire international graduates. Employers including Meta, Oracle, and Dell Technologies have Texas operations that support OPT candidates in content strategy, paid social, and community management roles across both metro markets.
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Get Access To All JobsINTRODUCTION
Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.
About Quora:
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
About the Team and Role:
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a significant impact on our product and our company. We are looking for an experienced Machine Learning engineer to join our growing distribution team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A. At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content. As a ranking modeling expert, you will have a unique opportunity to have high impact by advancing our ranking model and by applying latest machine learning techniques. You will also play a key role in developing methodologies that our other developers will build on top of.
Responsibilities:
- Improve our existing machine learning ranking models using your core coding skills and ML knowledge
- Identify new opportunities to apply machine learning to different parts of the Quora product
- Work with other machine learning engineers to implement algorithms and systems efficiently
- Take end-to-end ownership of machine learning systems - data pipelines, candidate extraction, feature engineering, model training, as well as integration into our production systems
Minimum Requirements:
- Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- 3+ years of professional experience working on recommendation models
- Good understanding of mathematical foundations of machine learning algorithms
- Previous experience building end-to-end machine learning systems
- Good communication and interpersonal skills
- BS, MS, or PhD in Computer Science, Engineering, or a related technical field
Preferred Requirements:
- 5+ years of experience writing Python or C++ code
- Experience with leading large-scale multi-engineer projects
- Flexible and positive team player with outstanding interpersonal skills
- Passion for Quora's mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
Additional Information:
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $189,507 - $274,603 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $248,526 - $288,100 CAD + equity + benefits. For all other locations in Canada, the salary range is $231,958 - $268,893 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
INTRODUCTION
Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.
About Quora:
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
About the Team and Role:
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a significant impact on our product and our company. We are looking for an experienced Machine Learning engineer to join our growing distribution team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A. At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content. As a ranking modeling expert, you will have a unique opportunity to have high impact by advancing our ranking model and by applying latest machine learning techniques. You will also play a key role in developing methodologies that our other developers will build on top of.
Responsibilities:
- Improve our existing machine learning ranking models using your core coding skills and ML knowledge
- Identify new opportunities to apply machine learning to different parts of the Quora product
- Work with other machine learning engineers to implement algorithms and systems efficiently
- Take end-to-end ownership of machine learning systems - data pipelines, candidate extraction, feature engineering, model training, as well as integration into our production systems
Minimum Requirements:
- Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- 3+ years of professional experience working on recommendation models
- Good understanding of mathematical foundations of machine learning algorithms
- Previous experience building end-to-end machine learning systems
- Good communication and interpersonal skills
- BS, MS, or PhD in Computer Science, Engineering, or a related technical field
Preferred Requirements:
- 5+ years of experience writing Python or C++ code
- Experience with leading large-scale multi-engineer projects
- Flexible and positive team player with outstanding interpersonal skills
- Passion for Quora's mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
Additional Information:
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $189,507 - $274,603 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $248,526 - $288,100 CAD + equity + benefits. For all other locations in Canada, the salary range is $231,958 - $268,893 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
Social Media Job Roles in Texas
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Search Social Media Jobs in TexasSocial Media Jobs in Texas: Frequently Asked Questions
Which social media companies sponsor F-1 OPT visas in Texas?
Texas-based employers with documented OPT sponsorship activity in social media and adjacent digital marketing functions include Meta (Austin), Oracle (Austin), Dell Technologies (Round Rock), AT&T (Dallas), and a range of regional digital agencies. Larger technology companies and enterprise brands tend to have established HR infrastructure for OPT paperwork, making them more consistent sponsors than smaller agencies.
Which cities in Texas have the most social media F-1 OPT sponsorship jobs?
Austin leads Texas for social media OPT roles, driven by its concentration of tech companies, marketing agencies, and startups. Dallas-Fort Worth ranks second, with demand from corporate headquarters in finance, retail, and telecommunications that maintain in-house social media teams. Houston has a smaller but active market tied to energy sector communications and healthcare marketing. San Antonio sees more limited volume.
What types of social media roles typically qualify for F-1 OPT sponsorship?
Roles that most consistently qualify include social media manager, content strategist, paid social specialist, community manager, social media analyst, and influencer marketing coordinator. Positions requiring platform analytics, campaign reporting, or performance data interpretation tend to align with specialty occupation criteria more clearly than purely creative or production-focused roles. A relevant degree in communications, marketing, or a related field strengthens eligibility.
How do I find social media F-1 OPT sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for F-1 OPT-eligible social media roles in Texas, showing verified employer sponsorship history drawn from DOL Labor Condition Application data. This lets you focus on Austin, Dallas, and Houston employers who have a documented record of sponsoring international candidates rather than applying broadly and discovering sponsorship limitations late in the hiring process.
Are there any Texas-specific or social media industry considerations for F-1 OPT sponsorship?
Texas has no state income tax, which affects compensation structuring but not OPT eligibility itself. Social media roles in Texas often sit inside marketing departments at large corporations rather than standalone agencies, which can mean more formal OPT onboarding processes. STEM OPT extension is generally not available for standard social media or communications degree programs, so candidates should plan their timeline around the standard 12-month OPT authorization period.