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.