Giskard defends the vision of an AI 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 in Europe, we are Data Scientists, AI Engineers and AI Researchers who have spent years building & securing mission-critical AI systems 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 our announcement.
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 read more here.
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 here.
In 2025, we launched the Phare LLM Benchmark in partnership with Google DeepMind to evaluate LLMs across key safety & security dimensions. On the commercial side, our enterprise platform secures AI agents deployed to millions of users worldwide, 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.
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Participate in red-teaming engagements and security audits of LLM-based systems, from planning attack scenarios to documenting findings and remediation paths
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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
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Collaborate with our engineering team to translate research concepts into production-ready code, participating in the full development lifecycle from prototyping to deployment.
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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
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Strong ML/AI knowledge, particularly around LLMs and their failure modes.
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Solid cybersecurity fundamentals, including threat modeling and vulnerability assessment, preferably applied to AI systems.
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Strong written & oral communication skills in English.
Strong plus
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Demonstrated applied research experience with a focus on practical applications and tool development (papers, benchmarks, disclosed vulnerabilities).
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Solid software engineering skills (Git, Python), including comfort directing and reviewing AI-assisted workflows.
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Prior red-teaming, CTF, or bug-bounty experience.
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Contributions to open-source projects.
About you
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Passionate about building robust solutions to real-life problems
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Comfortable moving between rigorous research and shipping something real that customers use
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Hungry for learning new skills every day
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Conscious about technology's role in our society
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Empathetic team player
Recruitment process
You can get an offer with salary & equity in 4 weeks
- Fit interview: 20 minutes
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Short technical exercise at home
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Tech interview: 45 minutes
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Final interview: 1 hour
Benefits
We value diversity, equity, and inclusivity. Giskard is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran, or disability status.
We are remote-flex. We value productivity and work/life balance. You can come to our office in Paris on a weekly basis if you live around Paris. You can also work remotely and come to the office on a monthly basis.
We offer a remote office kit to all full-time employees: a MacBook computer, external monitor, keyboard, mouse, etc. We also offer a very complete health insurance plan with Alan.
All full-time employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.
Salary: between 60 K€ and 90 K€ / year (brut) + 0.1 - 0.3% of equity
