AI Research Scientist

Job Summary

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 production

Required Qualifications

• Strong 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