Research Intern AI Security

Build security environments, adversarial agents, and evaluations for frontier AI systems. Location: Tübingen / HybridEmployment: InternshipThe roleYou 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 usSubmit your CV, a short note, and links to work that shows how you think and build using the application form.