Data Science - Agentic AI Intern at Cobalt in Remote

Summary: Cobalt is a company focused on enhancing offensive security through innovative solutions. They are seeking a graduate-level Data Science Intern to contribute to the development of autonomous agents and improve their performance in various environments. Responsibilities: - Design and run experiments to validate model and agent assumptions - Work with large-scale datasets to calibrate and test models - Iterate on agent behavior based on empirical results and failure analysis - Communicate findings clearly to technical stakeholders Required Qualifications: - Graduate student (MS/PhD) in a quantitative field - Strong foundation in at least one of: applied math, probability, statistics, and modeling - Proficiency in Python - Experience with agentic LLM-based AI systems Preferred Qualifications: - Familiarity with offensive security concepts - Experience with causal inference, simulation, or RL/planning - Research, publications, or open-source contributions Required Skills: Applied Mathematics, Probability, Statistics, Modeling, Python, Agentic LLM-based AI Systems Benefits: Mentorship from experienced researchers and engineers, Opportunity to contribute to systems at the intersection of data science, AI, and security