Education F-1 STEM OPT Sponsorship Jobs in Pennsylvania
Education F-1 STEM OPT sponsorship jobs in Pennsylvania are concentrated across Philadelphia, Pittsburgh, and State College, where institutions like the University of Pennsylvania, Carnegie Mellon University, and Penn State anchor demand for data scientists, instructional technologists, and research analysts. EdTech companies and research-driven nonprofits across the state actively file Labor Condition Applications for STEM-designated roles.
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Get Access To All JobsINTRODUCTION
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.
MLD is seeking a Research Associate to conduct research in Casual Representation Learning for anomaly detection.
Core Responsibilities
- Implement and test approaches for representation learning using modern deep learning frameworks like PyTorch or TensorFlow.
- Design and run experiments to evaluate approaches on both synthetic and real-world datasets.
- Collaborate with team members to debug models, analyze results, and iterate on research directions through regular code reviews and research discussions.
- Document research findings through clear technical writing, including experiment logs, methodology descriptions, and contributions to research papers.
- Participate in regular research meetings to present findings, discuss relevant papers, and contribute to brainstorming sessions.
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications
- Bachelor’s Degree required. Master’s Degree preferred.
- Previous research experience preferred.
- Strong analytical, communication, problem-solving, and reasoning skills.
- A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.
Requirements:
- Successful completion of a pre-employment background check
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
LOCATION
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff – Fixed Term (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Hourly
More Information:
- Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Statement of Assurance
INTRODUCTION
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.
MLD is seeking a Research Associate to conduct research in Casual Representation Learning for anomaly detection.
Core Responsibilities
- Implement and test approaches for representation learning using modern deep learning frameworks like PyTorch or TensorFlow.
- Design and run experiments to evaluate approaches on both synthetic and real-world datasets.
- Collaborate with team members to debug models, analyze results, and iterate on research directions through regular code reviews and research discussions.
- Document research findings through clear technical writing, including experiment logs, methodology descriptions, and contributions to research papers.
- Participate in regular research meetings to present findings, discuss relevant papers, and contribute to brainstorming sessions.
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications
- Bachelor’s Degree required. Master’s Degree preferred.
- Previous research experience preferred.
- Strong analytical, communication, problem-solving, and reasoning skills.
- A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.
Requirements:
- Successful completion of a pre-employment background check
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
LOCATION
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff – Fixed Term (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Hourly
More Information:
- Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Statement of Assurance
Education Job Roles in Pennsylvania
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Search Education Jobs in PennsylvaniaEducation Jobs in Pennsylvania: Frequently Asked Questions
Which education companies sponsor F-1 STEM OPT visas in Pennsylvania?
In Pennsylvania, F-1 STEM OPT sponsorship in education comes primarily from research universities like the University of Pennsylvania, Carnegie Mellon, Penn State, and Temple University, which regularly file Labor Condition Applications for STEM-designated roles. EdTech firms and education-focused research organizations in Philadelphia and Pittsburgh also sponsor, particularly for data, software, and instructional design positions.
Which cities in Pennsylvania have the most education F-1 STEM OPT sponsorship jobs?
Philadelphia leads Pennsylvania for education STEM OPT roles, driven by its dense concentration of universities and EdTech employers. Pittsburgh follows closely, anchored by Carnegie Mellon's research ecosystem and nearby technology-forward education organizations. State College, home to Penn State's main campus, is a strong third option, particularly for institutional research, learning analytics, and academic technology positions.
What types of education roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify under STEM OPT in education typically carry a SOC code classified as a STEM occupation by DHS. Common qualifying positions include data analysts, software developers, instructional designers with a technology focus, learning management system administrators, and institutional research analysts. The position must relate directly to your STEM-designated degree field, and your employer must be enrolled in E-Verify.
How do I find education F-1 STEM OPT sponsorship jobs in Pennsylvania?
Migrate Mate lets you filter specifically for education employers in Pennsylvania that have a verified F-1 STEM OPT sponsorship history, so you're not guessing about which organizations are willing to support your work authorization. Focus your search on Philadelphia, Pittsburgh, and State College, and prioritize roles whose SOC codes appear on the DHS STEM OPT designated degree list to confirm eligibility before applying.
Are there any Pennsylvania-specific considerations for F-1 STEM OPT in education?
Pennsylvania's education sector is heavily institution-driven, meaning many STEM OPT-sponsoring employers are universities or affiliated research centers rather than private EdTech startups. These employers are often experienced with E-Verify enrollment and formal sponsorship processes, which is required for STEM OPT. However, authorization to work beyond the initial OPT period still requires a formal training plan under Form I-983, which the employer must sign and maintain.