Research

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.