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.