AI Security Researcher (m/f/d)

Key Responsibilities

• Investigating emerging attack vectors and developing techniques to uncover vulnerabilities in AI models, data pipelines, and infrastructure. Threat Modeling & Risk Analysis:
• Mapping and characterizing potential threats across the AI lifecycle—from data ingestion to deployment—to prioritize security investments. Developing Defenses & Guardrails:
• Designing and implementing detection logic and researching mitigation methods to AI threats. Collaborating with Engineering Teams:
• Translating research findings into actionable, production-grade security requirements for product teams, ensuring threat detection makes sense. Documentation & Reporting:
• Creating technical reports, whitepapers, and proof-of-concept (PoC) exploits to document vulnerabilities and share findings within the organization or to the public. Monitoring AI Ecosystem Trends:
• Staying updated on the latest AI security standards, frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS), and academic research.

As an AI Security Researcher, you bring deep expertise in AI/ML security, software development in Python, backed by a minimum MSc in Machine Learning, Computer Science, or related discipline. You have hands-on experience with AI workloads, large language models, training frameworks, advanced optimization algorithms, GPU clusters, and ideally SLURM in HPC environments. You excel at modeling AI threats—model/data poisoning, permission escalation, backdoors, data drift attacks, prompt injection—and translating them into practical security defenses.

Requirements

• University degree in AI/ML or relevant discipline.
• Current residence in Germany or Austria.
• Full-time availability from December 1, 2026, remote from Germany or Austria only. null null null null null null null null null null

About the Role