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Exponential Security Labs

Automates agentic security with red-teaming

Member of Technical Staff - AI Security

AI ResearchConfirmed live in the last 24 hours
Full-timeTübingen, Germany

About the Job

Requirements

  • A strong track record in machine learning, security, or systems.
  • Strong software and machine-learning engineering fundamentals.
  • Experience with large language models, agentic systems, or reinforcement learning.
  • Ability to run careful experiments and communicate results clearly.

Responsibilities

  • Design security environments for training and evaluating AI agents.
  • Post-train agents using reinforcement learning and develop adaptive red-teaming methods.
  • Evaluate frontier models and agentic systems.
  • Turn research results into benchmarks, training methods, and tools.

Desired Qualifications

  • Experience in AI security, red teaming, or adversarial machine learning.
  • Experience with reinforcement learning or post-training for language models.
  • Experience in research engineering or production machine-learning systems.
  • Published research or substantial open technical work.

About the Company

Exponential Security Labs

Automates agentic security with red-teaming

Exponential Security Labs builds automated red-teaming and guardrail models to test and improve the security and reliability of agentic AI systems used in high-stakes decisions. Its approach uses self-improving red-teaming workflows and deployable guardrails, alongside production-ready LLMs and optimized inference pipelines to evaluate models and create security tests. The company distinguishes itself by tying deep academic work in adversarial robustness and AI safety to a concrete, implementation-focused security platform, led by researchers from the ELLIS Institute in Tübingen. Its goal is to help businesses deploying AI agents strengthen their security posture and ensure AI agents are safer and more reliable in real-world settings.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Tübingen, Germany
Founded
2026

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