Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, we are building a holistic testing platform for AI professionals to evaluate the quality & security of Generative AI applications based on Large Language Models (LLMs).

Since 2021, we've been building based on open-source foundations (4K stars on GitHub) and pushing the frontier of applied AI Safety & Security research, to help major customers secure their GenAI applications, including BPCE, SG, AXA, Michelin, and more.

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.

Missions

Working directly with Giskard's CTO, your missions will be to:

• Design and implement robust methodologies to test, evaluate, and benchmark LLMs for enterprise use cases, integrating them into our core platform.
• Work closely with our engineering team to translate research concepts into production-ready code, participating in the full development lifecycle from prototyping to deployment.
• Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.
• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.
• Provide technical expertise and actionable recommendations on customer projects.

We are looking for a researcher with an entrepreneurial mindset and a Ph.D. in Machine Learning / Artificial Intelligence or equivalent experience, preferably with previous experience with Generative AI / LLMs.

We are hiring people located in France or willing to relocate.

Skills

• Strong knowledge of Machine Learning / Artificial Intelligence research, with particular focus on LLMs.
• Demonstrated applied research experience with a focus on practical applications and tool development.
• Strong skills in software engineering (use of Git, production-ready code) and the Python stack.
• Strong written & oral communication skills in English.
• Bonus: contributions to open-source projects are appreciated.
• Bonus: knowledge of cybersecurity fundamentals and risk management is also a plus.

About you

• Passionate about building robust solutions to real-life problems
• Driven by customer needs & outstanding user experience
• Willing to build a real product and see it being used by customers
• 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
• Tech exercise: 10 days to complete
• Tech interview: 45 minutes
• Final interview: 1 hour

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 SideCare and AXA.

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