This position is no longer available
New York City or United States or North America Hybrid USD 60,000 – 96,000 / year

Reality Defender was looking for a Computer Vision Intern

Reality Defender is looking for a Computer Vision Intern to join a 3-month research project focused on advancing detection methods for AI-generated media. You will partner directly with our AI team to generate cutting-edge research and publish peer-reviewed papers on deepfake detection.

What You'll Do

  • Investigate new methods for generative image and video detection.
  • Collaborate with researchers within the team.
  • Perform research on deepfake image and video detection.
  • Write up results for internal reports and submission to academic journals and workshops.
  • Independently implement and evaluate ideas using a modern deep learning stack.

What We're Looking For

  • 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 comprehensive deepfake and AI-generated media detection platform.
  • Available to start a research project in Summer of 2026.

Technical Stack

  • Python, PyTorch
  • AWS, GCP

Team & Environment

You will partner with Reality Defender's AI team. Your primary collaborator and advisor will be Jacob Seidman.

Work Mode

This is a hybrid position based in New York City.

Reality Defender is an equal opportunity employer.

Required Skills
PythonPytorchAWSGCPComputer VisionDeep LearningResearch
About company
Reality Defender
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's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.
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Job Details
Department Research and Development (R&D)
Category data
Posted 5 months ago