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Working remotely in a full-time capacity, the AI Research Scientist will focus on developing next-generation agentic systems for cybersecurity by training models, building AI agents, and measuring their effectiveness using unique cybersecurity data.
Key Responsibilities: Collaborate with cybersecurity experts to understand workflows and automate analyst procedures using post-trained LLMs and reinforcement learning techniques Research and prototype state-of-the-art methods for agentic planning and establish benchmarking criteria for evaluating systems Optimize prompts and inference processes while coordinating with Engineering and Data Science teams to transition prototypes to productionRequired QualificationsStrong foundations in machine learning, probability, and statistics, with the ability to read and critique modern research papers Experience in training generative models and a solid understanding of LLM training fundamentals Proficiency in reinforcement learning techniques and building agentic systems Fluency with GPUs, PyTorch, and common LLM training and serving stacks Demonstrated ability to conduct reproducible research and communicate effectively within project teams

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Level

Senior L5

Location

New York, NY

Occupation

Computer and Information Research Scientists

Industry

Research and Development in the Physical, Engineering, and Life Sciences

Posted

3 days ago

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