Member of Technical Staff - AI Security

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.