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Salary
≈ $37k – $63k per year (Estimated)
Location
Hybrid (Tübingen, Germany)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
Security environments, adaptive red-teaming evaluations, and adversarial training data for AI agents.

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.

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