Cybersecurity OPT Jobs in New York
New York is one of the top states for cybersecurity F-1 OPT sponsorship jobs, with major employers like JPMorgan Chase, IBM, Palo Alto Networks, and Deloitte actively hiring in New York City and Albany. The finance, healthcare, and tech sectors drive consistent demand for security analysts, penetration testers, and compliance specialists who are eligible to work on OPT.
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Get Access To All JobsWho We Are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup
The Multimodal AI Internship. The 4-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to conduct cutting-edge research and publish peer-reviewed papers. Your primary collaborators will be Surya Koppisetti and Yi Zhu, who will guide and advise your efforts within multi-modal deepfake detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.
What You'll Do.
- Investigate and propose new methods for detecting generative multi-modal content, spanning audio and vision modalities.
- Perform research on multi-modal deepfake detection and reasoning tasks.
- Collaborate with researchers in the team.
- Write up results of research for internal reports and submission to academic journals/workshops.
- Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.
Who you are.
- PhD student in a relevant technical field, preferably three or more years into the program
- Experience in multi-modal learning, such as in audio-visual classification and audio-language reasoning.
- Proficient in Python and in building deep learning models with PyTorch.
- Published peer-reviewed research papers in reputable AI and speech venues, e.g. CVPR, NeurIPS, ACL, Interspeech.
- Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated content detection platform.
- Available to start in Spring 2026, for a minimum duration of 4 months.
Who We Are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup
The Multimodal AI Internship. The 4-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to conduct cutting-edge research and publish peer-reviewed papers. Your primary collaborators will be Surya Koppisetti and Yi Zhu, who will guide and advise your efforts within multi-modal deepfake detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.
What You'll Do.
- Investigate and propose new methods for detecting generative multi-modal content, spanning audio and vision modalities.
- Perform research on multi-modal deepfake detection and reasoning tasks.
- Collaborate with researchers in the team.
- Write up results of research for internal reports and submission to academic journals/workshops.
- Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.
Who you are.
- PhD student in a relevant technical field, preferably three or more years into the program
- Experience in multi-modal learning, such as in audio-visual classification and audio-language reasoning.
- Proficient in Python and in building deep learning models with PyTorch.
- Published peer-reviewed research papers in reputable AI and speech venues, e.g. CVPR, NeurIPS, ACL, Interspeech.
- Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated content detection platform.
- Available to start in Spring 2026, for a minimum duration of 4 months.
OPT Cybersecurity Job Roles in New York
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Search Cybersecurity Jobs in New YorkCybersecurity OPT Sponsorship Jobs in New York: Frequently Asked Questions
Which cybersecurity companies sponsor F-1 OPT visas in New York?
Large financial institutions and consulting firms are among the most active sponsors of F-1 OPT workers in cybersecurity in New York. Companies like JPMorgan Chase, Citigroup, Deloitte, IBM, and Booz Allen Hamilton have consistent hiring patterns for OPT-eligible candidates. Government contractors and managed security service providers operating in New York City and the Capital Region also frequently hire F-1 OPT students for cybersecurity roles.
Which cities in New York have the most cybersecurity F-1 OPT sponsorship jobs?
New York City accounts for the vast majority of cybersecurity F-1 OPT sponsorship jobs in the state, driven by the concentration of financial services, media, and tech companies in Manhattan and Brooklyn. Albany has a secondary cluster of opportunities, particularly with state government contractors and agencies. Buffalo and Rochester have smaller but growing cybersecurity hiring markets, especially tied to healthcare systems and regional universities.
What types of cybersecurity roles typically qualify for F-1 OPT sponsorship?
Roles that align closely with STEM degree programs are most commonly supported under F-1 OPT in New York's cybersecurity sector. These include security analyst, penetration tester, security operations center (SOC) analyst, threat intelligence analyst, compliance analyst, and cloud security engineer positions. Roles requiring a degree in computer science, information security, or a related STEM field generally qualify for STEM OPT extension, giving candidates up to 36 months of work authorization.
How do I find cybersecurity F-1 OPT sponsorship jobs in New York?
Migrate Mate is a job board built specifically for international students and visa holders, making it straightforward to filter for cybersecurity F-1 OPT sponsorship jobs in New York without sorting through listings that don't apply to your situation. Beyond Migrate Mate, targeting employers in New York's financial district with established international hiring programs and networking through university alumni in the cybersecurity field in New York City can improve your chances significantly.
Are there any New York-specific considerations for F-1 OPT cybersecurity sponsorship?
Many cybersecurity roles in New York, particularly those tied to financial services or government contractors, may require background checks or security clearances. F-1 OPT students are generally not eligible for U.S. security clearances, which can limit access to certain government-adjacent positions. Additionally, New York City employers in regulated industries like banking are subject to strict data security compliance requirements, which can make them more selective about hiring timelines and documentation for OPT candidates.