Computer Vision PhD Intern; Summer

Computer Vision PhD Intern (Summer 2026)

• Location

  Global Remote

• Employment Type

  Full Time

• Department

  AI

• Compensation

  $5K – $7K per month
  This salary range is reflective of the total compensation offering for this position. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits. Actual compensation will be determined based on various factors, including the candidate's qualifications, skills, relevant experience, and internal equity. Reality Defender is an equal opportunity employer and committed to fostering a diverse and inclusive culture where everyone can excel.

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

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 are welcome to work from our HQ in New York City.

• Investigate new methods for generative image/video detection.

• Collaborate with researchers on the team.

• Perform research on 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.

• PhD student in a relevant technical field.

• Experience in computer vision.

• Proficient in Python and 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.