About the role
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.