Giskard - Security for AI Agents | Multiple roles | Full-time | Europe | https://giskard.ai/
Giskard defends the vision of a Responsible AI that serves the business performance of companies and respects the rights of citizens. To embody this mission, Giskard provides AI professionals with a holistic testing platform to ensure the quality & security of LLM-based systems.
In 2022, we raised our first round of 1.5 M€ led by Elaia with participation from Bessemer & notable angel investors including the CTO of Hugging Face.
In 2023, we received a strategic investment of 3 M€ from the European Commission as part of the Horizon 2030 strategic program.
In 2024, we won a 3 M€ grant from Bpifrance to lead research in evaluation & mitigation for Large Language Models (LLMs), in a collaborative consortium with Mistral AI, Artefact, INA and BnF.
We're now expanding the team, and looking for AI & Go-to-market talent to join in these roles:
Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/
We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.
Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety.
Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.
In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022
We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!
We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:
Thanks for sharing, your mission is highly interesting! The DS lead role could be an ideal match, though if you allow me to be blunt to make the best of both of our time: is there flexibility in the package?
If yes I'll reach out, or feel free to do so (email in profile)
Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/
We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.
Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Quality & Safety.
Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.
In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022
We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!
We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:
Giskard - Testing framework for ML models| Multiple roles | Full-time | France | https://giskard.ai/
We are building the first collaborative & open-source Quality Assurance platform for all ML models - including Large Language Models.
Founded in 2021 in Paris by ex-Dataiku engineers, we are an emerging player in the fast-growing market of AI Safety & Security.
Giskard helps Data Scientists & ML Engineering teams collaborate to evaluate, test & monitor AI models. We help organizations increase the efficiency of their AI development workflow, eliminate risks of AI biases and ensure robust, reliable & ethical AI models. Our open-source platform is used by dozens of ML teams across industries, both at enterprise companies & startups.
In 2022, we raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer and notable angel investors including the CTO of Hugging Face. To read more about this fundraising and how it will accelerate our growth, you can read this announcement: https://www.giskard.ai/knowledge/news-fundraising-2022
We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Data Scientists ; to build our AI Quality platform and expand it to new types of AI models and industries. We have a culture of continuous learning & quality, and we help each other achieve high standards & goals!
We aim to grow from 15 to 25 people in the next 12 months. We're hiring the following roles:
This is awesome! I actually had this exact idea 8 years ago, as a revival of the infamous "Facemash" app from Mark Zuckerberg.
I thought no-one else would be interested in it. Super happy to see it come to life.
To me, a killer app would be the ability for anyone to input their own "objects" or images to compare, and provide a way for teams to vote to find the best / preferred option.
It’s a great milestone to establish a complete & safe lifecycle for nuclear fuel.
From what I understood of current technology, recycling used nuclear fuel is too expensive and impractical today, so it makes economic sense to invest in long-term waste storage.
But I do wonder if in 30-50 years, the main way to deal with nuclear waste would be recycling. I saw an interesting interview of experts about this last month: https://youtu.be/IzQ3gFRj0Bc
We're looking for early-stage talent to join our team in these roles:
1. AI Security & Safety Researcher: https://apply.workable.com/giskard/j/E89FE8E310/
2. Customer Success Manager: https://apply.workable.com/giskard/j/1446F6A1B6/
3. Enterprise Account Executive - DACH: https://apply.workable.com/giskard/j/5681150A95/