United States onlyWho 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 Applied Scientist 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 3 months.
