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Description:
Reality Defender is a groundbreaking security platform that offers comprehensive deepfake detection.
The company has been recognized as the most innovative startup at RSA 24 and is a Y Combinator graduate.
The leadership team has over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
The role involves working on NLP and NLG approaches for generative text detection, especially from large language models.
The candidate will independently implement and evaluate ideas using a modern deep learning stack, including Python, PyTorch, and GPU-enabled cloud compute like AWS.
Collaboration with scientists and engineers across the organization is a key aspect of the position.
Requirements:
A PhD or equivalent experience in computer science, machine learning, or a related field is required.
The candidate should have implemented and/or published papers at top AI research venues such as ACL, EMNLP, NAACL, etc.
An in-depth understanding of deep learning research is essential.
Excellent software engineering skills are necessary for this position.
The ideal candidate should be a team player with a positive attitude, a self-starter, and possess good communication skills.
Benefits:
The position offers the opportunity to work in a cutting-edge field focused on deepfake detection and AI-generated content.
Employees will be part of a dynamic team that collaborates across various disciplines.
The role provides a chance to contribute to significant advancements in cybersecurity and fraud detection.
Working remotely from New York City or anywhere in the USA is an option for this full-time position.