About the role
Build security environments, train adversarial agents, and evaluate frontier AI systems.
Location: Tübingen / Hybrid
Employment: Full-time
The role
You will work across AI security, machine learning, and research engineering. You will design reinforcement-learning environments, train adversarial agents, and build evaluations for capable AI systems.
What you’ll work on
- Design security environments for training and evaluating AI agents
- Post-train agents using reinforcement learning and develop adaptive red-teaming methods
- Evaluate frontier models and agentic systems
- Turn research results into benchmarks, training methods, and tools
What we’re looking for
- A strong track record in machine learning, security, or systems
- Strong software and machine-learning engineering fundamentals
- Experience with LLMs, agentic systems, or reinforcement learning
- Ability to run careful experiments and communicate results clearly
Useful experience
- AI security, red teaming, or adversarial machine learning
- Reinforcement learning or post-training for language models
- Research engineering or production ML systems
- Published research or substantial open technical work
What we offer
- Competitive compensation with equity
- 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.