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.