Safety & Security Researcher H/F Giskard

Giskard defends the vision of anAI that can be trusted by its makers and users.

We help enterprises deploy AI with trust by advancing research in AI safety and providing a leading security & quality platform for AI agents.

Founded inEurope, we are Data Scientists, AI Engineers and AI Researchers who have spent years building & securingmission-critical AIsystems for enterprises.

Company track record

In 2022, we raised our first round of 1.5 million euros, led by Elaia, with notable angel investors including Hugging Face's CTO and Mistral AI's co-founder. To read more about this fundraising, you can read .

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the EU AI Act. You can .

In 2024, we won a 3 M€ grant from Bpifrance to lead research in evaluation & mitigation for LLMs, in a collaborative consortium with Mistral AI, Artefact, INA and BnF. You can learn more .

In 2025, we launched thein partnership with GoogleDeepMindto evaluate LLMs across key safety & security dimensions. On the commercial side, our enterprise platform secures AI agents deployed tomillions of usersworldwide, with clients in critical industries like AXA, BNP Paribas, Michelin, Doctolib and the French government.

About the role

We are looking for a researcher with an entrepreneurial mindset and strong applied experience in Machine Learning / Artificial Intelligence, ideally with hands-on exposure to Generative AI / LLMs and AI application red-teaming.
We are hiring people located in the EU or willing to relocate.

Your missions

• Design and implement robust methodologies to test, evaluate, and red-team AI agents for enterprise use cases, integrating them into our core platform.
• Participate in red-teaming engagements and security audits of LLM-based systems, from planning attack scenarios to documenting findings and remediation paths
• Stay ahead of emerging threats through continuous scientific watch in AI Testing, Benchmarking, and Security, and apply that knowledge to identify vulnerabilities and failure modes in LLM-based systems proactively
• Collaborate with our engineering team to translate research concepts into production-ready code, participating in the full development lifecycle from prototyping to deployment.
• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.

What we are looking for

Must have

• Strong ML/AI knowledge, particularly around LLMs and their failure modes.
• Solid cybersecurity fundamentals, including threat modeling and vulnerability assessment, preferably applied to AI systems.
• Strong written & oral communication skills in English.

Strong plus

• Demonstrated applied research experience with a focus on practical applications and tool development (papers, benchmarks, disclosed vulnerabilities).
• Solid software engineering skills (Git, Python), including comfort directing and reviewing AI-assisted workflows.
• Prior red-teaming, CTF, or bug-bounty experience.
• Contributions to open-source projects.

About you

• Passionate about building robust solutions to real-life problems
• Comfortable moving between rigorous research and shipping something real that customers use
• Hungry for learning new skills every day
• Conscious about technology's role in our society
• Empathetic team player

Recruitment process

You can get an offer with salary & equity in 4 weeks 🚀

• Fit interview: 20 minutes
• Short technical exercise at home
• Tech interview: 45 minutes
• Final interview: 1 hour