[Hiring] Computer Vision PhD Intern @Reality Defender

Role Description

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.

What you'll do

• 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.

Qualifications

• 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.