Computer Vision PhD Intern (Summer 2026)

Reality Defender • New York, NY

1d • Hybrid

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.

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.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree