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exponential.fi

Member of Technical Staff – AI Security

exponential.fi

. Design security environments for training and evaluating AI agents .

Posted 10/6/2026full-timeTübingen • GermanyLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in machine learning, AI security, and systems engineering, with a focus on reinforcement learning and adaptive red-teaming methods. Proven ability to conduct experiments, communicate findings, and translate research into practical applications.

Highest-signal resume keywords
Machine Learning EngineeringAI SecurityReinforcement LearningResearch EngineeringPublished Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningReinforcement LearningAdaptive Red-TeamingLLMsAgentic SystemsExperimentationBenchmark DevelopmentTraining MethodsSystems EngineeringAdversarial Machine Learning
Soft Skills
Clear Communication
Industry Keywords
AI SecurityRed TeamingFrontier ModelsResearch EngineeringProduction ML Systems

About the role

Key responsibilities & impact
  • Design security environments for training and evaluating AI agents
  • Post-train agents using reinforcement learning
  • Develop adaptive red-teaming methods
  • Evaluate frontier models and agentic systems
  • Turn research results into benchmarks, training methods, and tools
  • Work across AI security, machine learning, and research engineering

Requirements

What you’ll need
  • 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
  • Experience in AI security, red teaming, or adversarial machine learning
  • Experience with reinforcement learning or post-training for language models
  • Experience in research engineering or production ML systems
  • Published research or substantial open technical work
  • Submit a CV, a short note, and links to work using the application form

Benefits

Comp & perks
  • Competitive compensation with equity
  • Flexible hours
  • Remote-friendly setup
  • Vacation
  • Learning budget
  • Conference budget
  • Research freedom in a high-trust environment