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 security stacks.
Role type
Senior Machine Learning Lead (AI Security)
Builds
Detection stack components including traffic analysis, policy automation, and business logic for security decisions; benchmark harnesses for detection rate, false positive rate, and latency.
Domain
AI Security, Adversarial ML, Infrastructure Security
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps, Python, PyTorch, Security (Pentesting/Red Teaming/CTF/Bug Bounty/Adversarial ML), Benchmarking and Evaluation, Docker, REST APIs, Containerization, Debugging across model/runtime/container/network stack
Preferred skills
LLM application attack experience, Kubernetes, SQL
Technologies
PyTorch, Docker, Kubernetes, REST APIs
Responsibilities
Own end-to-end lifecycle of detection and analysis features; build non-model parts of the detection stack (traffic analysis, policy logic); maintain and defend the benchmark harness; integrate security into the pipeline; debug across the full stack; deploy containerized services.
Seniority
Senior, hands-on IC