AI Safety & Security Researcher, Giskard AI

€60-90k

+ 0.1 - 0.3% of equity

TypeScript

Python

Java

Vue.js

Junior, Mid and Senior level

Paris

Remote from France

More information about location

Testing framework for ML models

Open for applications

Testing framework for ML models

1-20 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Open for applications

€60-90k

+ 0.1 - 0.3% of equity

TypeScript

Python

Java

Vue.js

Junior, Mid and Senior level

Paris

Remote from France

More information about location

1-20 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Company mission

Continuously test LLM applications to prevent hallucinations & security issues. Powered by leading AI researchers.

Job

Company

Role

Who you are

We are looking for a researcher with an entrepreneurial mindset and a Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics
Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools
Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks
Strong skills in software engineering (use of Git, production-ready code.)
Strong written & oral communication skills in English
Bonus 1: open-source contributions are highly valued
Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus
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

What the job involves

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)
Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform
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
Push the frontier of AI Safety & Security research with a focus on tools for real-life applications

Application process

Fit interview: 15 minutes
Tech exercise: 10 days to complete
Tech interview: 45 minutes
Reference calls: 2 persons
Final interview: 45 minutes
You can get an offer with salary & equity in 4 weeks

Our take

Giskard was created when its founders saw difficulties with AI projects because of misunderstandings from business stakeholders, and a lack of robustness of the AI workflow. To address this, the company makes it easier to monitor AI models and get actionable alerts.

This includes solving problems around monitoring, such as “dashboard fatigue” where people pay less attention to monitoring after it has been deployed for a while. Giskard has a wide user base, including mature organizations who set up rolling on-call schedules for their engineers and invest in debugging tools to solve issues faster.

The company has secured major clients such as L'Oreal, Webedia and Continuity. Giskard has raised considerable funding that will aid the commercialisation of its offering, sustained hiring efforts, and the investigation of new fields including computer vision, time series, and generative AI.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Mar 2023

$2.9m

GRANT

Dec 2022

$1.8m

SEED

Total funding: $4.6m

Company benefits

Remote-flex working models
Remote office kit including MacBook computer, external monitor, keyboard, mouse, etc.
Equity package
Health insurance (SideCare)

Company HQ

Saint Vincent de Paul, Paris, France

Leadership

Alex Combessie

(CEO)

Previously a Data Scientist for Capgemini. Held a number of roles related to data science and software engineering at Dataiku.

Dr Jean-Marie John-Mathews

(Co-founder)

Has been a university lecturer at Université Paris Dauphine, Sciences Po and Aivancity School for Technology, Business and Society. Before co-founding Giskard, was a Manager at Chaire Good In Tech.

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