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

Develop and evaluate security environments, agent training methods, attacks, or defenses

Run controlled experiments with clear baselines and verifiable outcomes

Analyze model behavior and communicate the results to the team

Contribute code, evaluations, and research findings that remain useful after the internship

What we’re looking for

Current study or recent work in machine learning, computer science, security, or a related field

Strong programming skills and experience building or evaluating machine-learning systems

Curiosity about AI agents and the discipline to investigate failures carefully

Ability to work independently and ask for feedback early

Useful experience

LLMs, reinforcement learning, or agentic systems

Adversarial machine learning, red teaming, or AI safety evaluations

Research codebases, reproducible experiments, or open-source contributions

A previous research project, thesis, or technical publication

What we offer

Competitive compensation

Flexible hours and a remote-friendly setup

Vacation, learning, and conference budget

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.