Member of Technical Staff - AI Security

About this 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

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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

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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.