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Applied AI Researcher
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Reality Defender is a pioneering security platform that offers cutting-edge deepfake detection technology. As a Y Combinator graduate and Comcast NBCUniversal LIFT Labs alumni, we have developed a proactive approach to detecting and deterring fraudulent content. Our leadership team has over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
Key Responsibilities- Develop and implement NLP and NLG approaches for generative text detection, particularly from large language models.
- Independently design and evaluate ideas on modern deep learning stacks, including Python, PyTorch, and GPU-enabled cloud compute platforms like AWS.
- Collaborate with scientists and engineers across the organization to drive innovation and excellence.
- PhD or equivalent experience in computer science, machine learning, or a related field.
- Publishing papers at top AI research venues such as ACL, EMNLP, and NAACL.
- In-depth understanding of deep learning research and its applications.
- Excellent software engineering skills and the ability to work in a team environment.