Related skills
optimization python machine learning ai llmsπ Description
- Build and improve autonomous agents for reasoning, planning, exploitation workflows
- Improve agent performance in simulated and real environments
- Analyze outputs from agents to identify weaknesses and emergent behaviors
- Collaborate with engineering and security teams to deploy models in real-world workflows
- Apply techniques from causal inference, probabilistic modeling, and optimization
π― Requirements
- Graduate student (MS/PhD) in a quantitative field
- Strong foundation in applied math, probability, statistics, and modeling
- Proficiency in Python
- Experience with agentic LLM-based AI systems
- Familiarity with offensive security concepts
- Research, publications, or open-source contributions
π Benefits
- Ownership of a high-impact, technically challenging project
- Exposure to real-world agentic AI applications
- Mentorship from experienced researchers and engineers
- Opportunity to work at the intersection of data science, AI, and security
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