Data Science - Agentic AI Intern

1 hour, 25 minutes ago
Internship
Entry Level
Data Science and Analytics
Cobalt

Cobalt

Cobalt modernizes traditional pentesting with a global talent pool and SaaS platform, delivering actionable results to pinpoint and remediate software vulnerabilities.

Internet Software & Services
251-1K
Founded 2013
$37M raised

Description

  • Design and run experiments to validate model and agent assumptions.
  • Build and improve autonomous agents focused on reasoning, planning, and exploitation workflows.
  • Enhance agent performance in both simulated and real-world environments.
  • Analyze agent outputs to identify system weaknesses and emergent behaviors.
  • Work with large-scale datasets to calibrate and test models.
  • Iterate on agent behavior based on empirical results and failure analysis.
  • Collaborate with engineering and security teams to integrate models and agents into offensive security workflows.
  • Communicate findings clearly to technical stakeholders.
  • Apply techniques from causal inference, probabilistic modeling, and optimization.

Requirements

  • Graduate student pursuing an MS or PhD in a quantitative field.
  • Strong foundation in at least one of the following: applied math, probability, statistics, or modeling.
  • Proficiency in Python.
  • Experience with agentic LLM-based AI systems.
  • Familiarity with offensive security concepts (nice to have).
  • Experience with causal inference, simulation, or RL/planning (nice to have).
  • Research experience, publications, or open-source contributions (nice to have).

Benefits

  • Ownership of a high-impact, technically challenging project.
  • Exposure to real-world applications of agentic AI.
  • Mentorship from experienced researchers and engineers.
  • Opportunity to contribute to systems at the intersection of data science, AI, and security.
  • Fully remote team environment.
  • Equal Opportunity Employer with a focus on diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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