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.