Audio/Multimodal AI PhD Intern

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 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 https://www.youtube.com/watch?v=TKOZmwyNUNM THE MULTIMODAL AI INTERNSHIP. The 4-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to conduct cutting-edge research and publish peer-reviewed papers. Your primary collaborators will be Surya Koppisetti https://www.linkedin.com/in/surya-koppisetti-7a930736/, who will guide and advise your efforts within multi-modal deepfake detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City. WHAT YOU'LL DO. - Investigate and propose new methods for detecting generative AI content, spanning audio, audio-language, and/or audio-visual modalities - Perform research on robust deepfake detection and reasoning tasks. - Collaborate with researchers in the team. - Write up results of research for internal reports and submission to top tier ML conferences. - Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP. WHO YOU ARE. - PhD student in a relevant technical field, preferably three or more years into the program - Experience in multi-modal learning, such as in audio-visual classification and audio-language reasoning. - Proficient in Python and in building deep learning models with PyTorch. - Published peer-reviewed research papers in reputable AI and speech venues, e.g. CVPR, NeurIPS, ACL, Interspeech. - Write up results of research for internal reports and submission to top tier ML conferences. - Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated content detection platform. - Rolling intake, for a minimum internship duration of 4 months.