Description:

Internship for PhD students to conduct research on multi-modal deepfake detection.
Collaborate with Reality Defender's AI team and publish peer-reviewed papers.

Requirements:

Current PhD student in a relevant technical field, preferably three or more years into the program.
Experience in multi-modal learning (audio-visual classification, audio-language reasoning).
Proficient in Python and building deep learning models with PyTorch.
Published peer-reviewed research in reputable AI and speech venues (e.g., CVPR, NeurIPS, ACL, Interspeech).
Excited about Reality Defender's mission.
Available to start May 1st, 2026, for a minimum of 4 months.

Skills