Machine Learning Lead (m/w/d) - AI Security, Tübingen oder remote
Core
End-to-end ownership of central detection and analysis features for AI security, covering data collection, training, evaluation, deployment, and monitoring of ML systems to prevent prompt injection, PII leaks, and data exfiltration.
Role type
Senior Machine Learning Lead (AI Security)
Builds
Detection stack components including traffic analysis, policy autopilot, and business logic for security decisions
Domain
AI Security, Adversarial ML, Infrastructure Security
Deliverable
production ML models
Required skills
Python, PyTorch, MLOps, Security (Pentesting/Red Teaming/Adversarial ML), Docker, REST APIs, Benchmarking and Evaluation
Preferred skills
Kubernetes, SQL, Experience attacking production LLM applications, German language
Technologies
Python, PyTorch, Docker, Kubernetes, REST APIs
Responsibilities
Own end-to-end lifecycle of detection features from data collection to production deployment; Build non-model parts of the detection stack including traffic analysis and policy logic; Maintain and defend the benchmark harness for detection rate, false positive rate, and latency; Debug across the full stack from model output to runtime and network; Integrate security considerations directly into the ML pipeline
Seniority
Senior, hands-on IC
