Computer Vision PhD Intern (Summer 2026)
About The Position
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 Computer Vision Internship. This 3-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to generate cutting-edge research and publish peer-reviewed papers. Your primary collaborator will be Jacob Seidman, who will guide and advise your efforts within deepfake image and video detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City.
Requirements
- PhD student in a relevant technical field.
- Experience in computer vision.
- Proficient in Python and in building deep learning models with PyTorch.
- Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS.
- Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated media detection platform.
- Available to start a research project in Summer of 2026.
Responsibilities
- Investigate new methods for generative image/video detection.
- Collaborate with researchers in the team.
- Perform research of deepfake image/video detection.
- 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.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
