Research Intern - AI Security

Exponential Security Labs; Tübingen; Hybrid; EUR 8.900 - 13.000; Teilzeit

Benefits dieser Stelle

Flexible hours

Remote-friendly setup

Conference budget

Vacation & learning budget

Zusammenfassung

Exponential Security Labs in Germany invites an intern to join across AI security, machine learning, and research engineering, taking ownership of a technically ambitious project in agent security—from design to experiments and communicating results.

You will work with the core team, contribute code and evaluations that remain useful after the internship, and benefit from flexible hours and a remote-friendly setup.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Programming skills

ML systems experience

Independent work

Feedback seeking

Jobbeschreibung

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