← All Jobs
Posted: Jan 14, 2026

Computer Vision Intern

Apply Now
About Reality Defender Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC , Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution. Youtube: Reality Defender Wins RSA Most Innovative Startup Why we stand out: Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text. Our platform is designed for ease of use , featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments. We’re privacy first , ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models. Role and 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 About You 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 Team player with a positive attitude and good communication skills. Excited about our line of work Originally posted on Himalayas