Build security environments, adversarial agents, and evaluations for frontier AI systems.
Location: Tübingen / Hybrid
Employment: Internship
The role
You will work across AI security, machine learning, and research engineering alongside the core team. You will take ownership of a technically ambitious project in agent security, from designing and implementing the approach to running experiments and communicating the results.
What you’ll work on
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Develop and evaluate security environments, agent training methods, attacks, or defenses
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Run controlled experiments with clear baselines and verifiable outcomes
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Analyze model behavior and communicate the results to the team
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Contribute code, evaluations, and research findings that remain useful after the internship
What we’re looking for
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Current study or recent work in machine learning, computer science, security, or a related field
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Strong programming skills and experience building or evaluating machine-learning systems
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Curiosity about AI agents and the discipline to investigate failures carefully
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Ability to work independently and ask for feedback early
Useful experience
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LLMs, reinforcement learning, or agentic systems
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Adversarial machine learning, red teaming, or AI safety evaluations
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Research codebases, reproducible experiments, or open-source contributions
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A previous research project, thesis, or technical publication
What we offer
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Competitive compensation
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Flexible hours and a remote-friendly setup
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Vacation, learning, and conference budget
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Research freedom in a high-trust environment
Work with us
Submit your CV, a short note, and links to work that shows how you think and build using the application form.
Kontaktdaten:
Exponential Security Labs Recruiting-Team
