About the role

Role Overview

Join Cobalt as a Data Science Intern to help develop autonomous agents for offensive security. You’ll work at the intersection of applied mathematics, statistical modeling, and autonomous AI systems in adversarial, high-stakes environments.

Key Missions

Contribute to the development of autonomous agents, improving their ability to reason, adapt, and exploit findings in test and real-world scenarios.
Develop models that capture complex system interactions and evaluate agent performance under changing platform conditions.
Collaborate with engineering and security teams to integrate models and agents into real-world offensive security security workflows.

Responsibilities

Build and improve autonomous agents.
Analyze agent outputs to identify system weaknesses.
Partner with engineering and security teams to operationalize models/agents.

Requirements

Python proficiency.
Experience with agentic LLM-based AI systems.
Currently a graduate student (MS/PhD) in a quantitative field.
Strong foundation in at least one of:
- applied math
- probability
- statistics
- modeling
Research, publications, or open-source contributions.
Familiarity with offensive security concepts.

Nice-to-Haves

Causal inference, simulation, or RL/planning experience.

About Cobalt

Cobalt is working on the development of autonomous agents in the offensive security space. The role described supports building AI systems for high-stakes, adversarial environments, aligning with the company’s work in the expanding PtaaS (offensive security as-a-service) area.

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