Computer reputed company PhD Intern (Summer 2026)
Who we are. 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 reputed company time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, reputed company, reputed company, reputed company, Rackhouse, and Argon VC, Reality Defender works with leading reputed company 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 The Computer reputed company Internship. This 3-month internship is designed for reputed company PhD reputed company 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 reputed company deepfake image and video detection. This internship can be performed remotely, although you're welcome to work from our HQ in reputed company. What you'll do.
- Investigate new methods for generative image/video detection.
- Collaborate with researchers in the team.
- reputed company research of deepfake image/video detection.
- Write up results of research for internal reports and submission to academic journals/workshops.
- Independently implement and evaluate reputed company on modern deep learning stack - Python, PyTorch, and GPU-enabled reputed company compute, like AWS/GCP.
Who you are.
- PhD student in a relevant technical field.
- Experience in computer reputed company.
- Proficient in Python and in building deep learning models with PyTorch.
- Published peer-reviewed research papers in reputable computer reputed company 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.
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