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
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Design security environments for training and evaluating AI agents
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Post-train agents using reinforcement learning and develop adaptive red-teaming methods
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Evaluate frontier models and agentic systems
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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
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Strong software and machine-learning engineering fundamentals
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Experience with LLMs, agentic systems, or reinforcement learning
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Ability to run careful experiments and communicate results clearly
Useful experience
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AI security, red teaming, or adversarial machine learning
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Reinforcement learning or post-training for language models
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Research engineering or production ML systems
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Published research or substantial open technical work
What we offer
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Competitive compensation with equity
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Flexible hours and a remote-friendly setup
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Vacation, learning, and conference budget
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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.
Kontaktdaten:
Exponential Security Labs Recruiting-Team
