AI Safety & Security Researcher, Giskard AI
€60-90k
+ 0.1 - 0.3% of equity
More information about location
Testing framework for ML models
Open for applications
Testing framework for ML models
1-20 employees
Open for applications
€60-90k
+ 0.1 - 0.3% of equity
More information about location
1-20 employees
Company mission
Continuously test LLM applications to prevent hallucinations & security issues. Powered by leading AI researchers.
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
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Company
Company benefits
- Remote-flex working models
- Remote office kit including MacBook computer, external monitor, keyboard, mouse, etc.
- Equity package
- Health insurance (SideCare)
Funding (2 rounds)
Mar 2023
$2.8m
GRANT
Dec 2022
$1.7m
SEED
Total funding: $4.5m
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