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Tübingen, Baden-Württemberg, Deutschland
Hybrid
Build security environments, train adversarial agents, and evaluate frontier AI systems.
Location: Tübingen / Hybrid
Employment: Full-time
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.
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
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
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
Competitive compensation with equity
Flexible hours and a remote-friendly setup
Vacation, learning, and conference budget
Research freedom in a high-trust environment
Submit your CV, a short note, and links to work that shows how you think and build using the application form.
