Member of Technical Staff - AI Security

Exponential Security Labs GmbH; Tübingen; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive equity

Remote-friendly setup

Conference budget

Learning budget

Zusammenfassung

Exponential Security Labs GmbH is seeking a researcher to advance AI security, RL environments, and evaluator tools. You will design experiments, build benchmarks, and contribute to frontier AI evaluations.

Join a remote-friendly team with flexible hours, equity compensation, and support for conferences and learning as you push the boundaries of adversarial ML and safe AI systems.

Qualifikationen

• Proven track record in machine learning, security, or systems.
• Strong software and ML engineering fundamentals.
• Experience with LLMs, agentic systems, or reinforcement learning.
• Ability to run careful experiments and communicate results clearly.

Aufgaben

• 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

Kenntnisse

ML research

Security

Systems engineering

Experiment design

Jobbeschreibung

Build security environments, train adversarial agents, and evaluate frontier AI systems.

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