AI Specialist Jobs for OPT Students
AI Specialist roles are among the strongest fits for F-1 OPT students, with most positions qualifying under STEM OPT extension criteria. The field spans machine learning engineering, NLP, and computer vision, and many employers in tech and enterprise software have established OPT sponsorship workflows through prior STEM hires.
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Get Access To All JobsINTRODUCTION
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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.
ROLE AND RESPONSIBILITIES:
- Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
- Suggest, collect, and synthesize requirements and create effective feature roadmap
- Code deliverables in tandem with the engineering team
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Perform specific responsibilities which vary by team
- Research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms
- Gather data for machine-learning training
- Train new ranking models and run experiments
- Identify potential improvements in company's software and technology products
- Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research and/or work in machine learning, NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision
- Java or C++, Perl, PHP or Python
PREFERRED QUALIFICATIONS:
- PhD in Computer Science, Computer Engineering, or relevant technical field
- 3+ years experience as an Applied AI Research Scientist or an Applied AI Research Engineer
- Experience with developing scalable machine learning models in at least one of the following areas: Crawling, indexing, extraction, retrieval, ranking, recommendations, measurement, tooling, evaluation, query understanding, planning, vector databases, or embeddings
- Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
- Experience taking ideas from research to production
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
- Experience working and communicating cross functionally in a team environment
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
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
- $88.46/hour to $257,000/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 Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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.
ROLE AND RESPONSIBILITIES:
- Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
- Suggest, collect, and synthesize requirements and create effective feature roadmap
- Code deliverables in tandem with the engineering team
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Perform specific responsibilities which vary by team
- Research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms
- Gather data for machine-learning training
- Train new ranking models and run experiments
- Identify potential improvements in company's software and technology products
- Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research and/or work in machine learning, NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision
- Java or C++, Perl, PHP or Python
PREFERRED QUALIFICATIONS:
- PhD in Computer Science, Computer Engineering, or relevant technical field
- 3+ years experience as an Applied AI Research Scientist or an Applied AI Research Engineer
- Experience with developing scalable machine learning models in at least one of the following areas: Crawling, indexing, extraction, retrieval, ranking, recommendations, measurement, tooling, evaluation, query understanding, planning, vector databases, or embeddings
- Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
- Experience taking ideas from research to production
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
- Experience working and communicating cross functionally in a team environment
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
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
- $88.46/hour to $257,000/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.
How to Get Visa Sponsorship as an AI Specialist
Lead with your STEM OPT timeline upfront
When reaching out to hiring managers, mention your three-year STEM OPT window early. Many employers conflate OPT with the standard 12-month limit, and clarifying your full authorization period removes the most common reason AI teams decline to interview international candidates.
Target employers with existing H-1B filings for AI roles
Companies that have previously sponsored H-1B petitions for machine learning engineers or data scientists are far more likely to extend OPT sponsorship. Search USCIS H-1B disclosure data to verify which employers already have infrastructure to support international hires in technical AI roles.
Frame your degree field explicitly in applications
STEM OPT eligibility depends on your degree classification. Computer science, electrical engineering, and statistics all qualify. State your degree field and STEM designation explicitly on your resume and in cover letters so hiring teams can confirm OPT viability without back-and-forth clarification.
Prioritize mid-size tech companies over large enterprise
Mid-size AI companies and growth-stage startups often move faster on OPT hiring decisions than large enterprises with rigid HR systems. They also tend to have lean legal relationships with immigration counsel, making the E-Verify and reporting steps quicker to execute for your employer.
Align your role title to your degree on the I-983
Your employer must complete Form I-983 for STEM OPT, which requires describing how the AI Specialist role directly relates to your degree. Work with your hiring manager before your start date to draft language connecting your specific duties, such as model training or deployment, to your academic field.
Use Migrate Mate to filter for OPT-verified AI roles
Many AI job listings never specify visa sponsorship willingness, which wastes application time. Migrate Mate surfaces roles from employers verified to hire on OPT, so you can focus your search on companies already prepared to support your work authorization status without requiring you to vet each listing manually.
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Get Access To All JobsFrequently Asked Questions
Do AI Specialist roles qualify for the STEM OPT extension?
Most do, provided your underlying degree falls under an approved STEM field such as computer science, data science, electrical engineering, or applied mathematics. The role itself must also be directly related to that field of study. Job titles like AI Specialist, Machine Learning Engineer, and NLP Engineer consistently meet this standard, but your DSO makes the final determination based on your specific degree and job description.
How do I find AI employers who are willing to hire on OPT?
Migrate Mate is built specifically for this. It aggregates AI Specialist roles from employers with a demonstrated history of hiring international students on OPT and H-1B, filtering out listings where sponsorship is explicitly excluded. This saves you from cold-applying to companies that will reject you at the offer stage once your work authorization comes up.
What does an employer actually have to do to hire me on OPT as an AI Specialist?
For standard OPT, your employer must be enrolled in E-Verify. That is the only hard requirement. For STEM OPT extension, they must also be enrolled in E-Verify at the time of your I-983 submission, provide a formal training plan describing how the AI role supports your degree, and submit a six-month and annual evaluation during your extension period.
Can I work as an AI Specialist contractor or through a staffing agency on OPT?
Yes, but with important constraints. For standard OPT, contract and staffing arrangements are generally permitted. For STEM OPT extension, USCIS requires that you have a bona fide employer-employee relationship with the sponsoring company. If you are placed at a client site through an agency, the end client must sign the I-983 and function as your actual supervisor and trainer, not the staffing agency.
What happens to my OPT authorization if my AI Specialist role changes significantly at the same employer?
A substantial change in job duties may require an updated I-983 training plan for STEM OPT students. If your role shifts from model development to a function unrelated to your degree, such as general product management, your STEM OPT eligibility could be at risk. Notify your DSO whenever your core responsibilities change materially, and document how the new duties still connect to your field of study.
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