Research Intern
Vor 3 Tagen
Tübingen, Baden-Württemberg, Deutschland
Exponential Security Labs
Vollzeit
Kostenlos per E-Mail oder Google
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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.
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.