alexcombessie

Giskard - Testing platform for LLM Agents | 3 roles | Full-time | EU | https://giskard.ai/

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/

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:

* Frontend Design Engineer: https://apply.workable.com/giskard/j/EB872047FF/

* AI Researcher: https://apply.workable.com/giskard/j/E89FE8E310/

* Customer Success Manager: https://apply.workable.com/giskard/j/1446F6A1B6/

* Enterprise Account Executive: https://apply.workable.com/giskard/j/1F95E78192/

Giskard - Testing platform for LLM Agents | Multiple roles | Full-time | France | https://giskard.ai/

We're looking for early-stage talent to join our team in these roles:

1. Frontend Design Engineer: https://apply.workable.com/giskard/j/EB872047FF/

2. AI Security & Safety Researcher: https://apply.workable.com/giskard/j/E89FE8E310/

3. LLM Developer Advocate: https://apply.workable.com/giskard/j/FD207CDFBD/

4. Customer Success Manager: https://apply.workable.com/giskard/j/1446F6A1B6/

5. Enterprise Account Executive: https://apply.workable.com/giskard/j/1F95E78192/

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

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

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:

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Data Science lead - https://apply.workable.com/giskard/j/2CA6D2ABDA/ (ML + consulting experience required)

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

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

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:

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Data Science lead - https://apply.workable.com/giskard/j/2CA6D2ABDA/ (ML + consulting experience required)

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

In 2023, we received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here: https://www.giskard.ai/knowledge/1-000-github-stars-3meu-and...

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:

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js, Cloud skills)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Data Science lead - https://apply.workable.com/giskard/j/E89FE8E310/ (ML + consulting experience required)

* Growth marketing intern - https://apply.workable.com/giskard/j/C8635E9B0C/

* Data Science intern - https://apply.workable.com/giskard/j/7F0B341852/

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

Does it support fixtures natively like in Python?

Great news! It should stop electronic waste and bad « planned obsolescence » practices from smartphone manufacturers

I am not sure businesses would trust Meta with their sensitive data. Facebook/Meta brand equity in the B2B domain is severely tarnished, with their long history of lack of respect to data privacy laws and lack of transparency.

I just don’t see how Meta could possibly turn into a success in the B2B software business. They are a great advertising company, but they’ve never been successful in their other ventures…

Thanks! This survey is helpful.

Thanks! We’re interested in your feedback as it’s still a beta version. Here is our documentation to get started: https://docs.giskard.ai/

Thanks! We’re interested in your feedback as it’s still a beta version.

Here is our documentation to get started: https://docs.giskard.ai/

Thanks! LLM testing is a specific challenge, we’re interested in your feedback on our alpha version.

Here’s a notebook to try it: https://docs.giskard.ai/en/latest/reference/notebooks/llm_co...

Definitely agree that black boxes are the problem & that one needs to be able to verify the verifiers - FYI that's why Giskard is open-source and that we build in the open. https://www.giskard.ai/knowledge/giskard-log-1-going-open-so...

Thanks! Asimov fan too?

Giskard | R&D (multiple roles) | Full-time | Paris, France | https://giskard.ai/

We are building the first collaborative & open-source Quality Assurance platform for all AI models. Founded in 2021 in Paris (France) by ex-Dataiku engineers, we are an emerging player in the new market of AI Quality.

Giskard helps AI & Business teams collaborate to evaluate & test 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 platform is used by dozens of AI teams across industries, both at enterprise companies & startups.

We are assembling a team of champions: Software Engineers, Machine Learning researchers, and Developer Advocates ; 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!

* Software Engineer - https://apply.workable.com/giskard/j/AD2C90B581/ (Python, Java, Typescript, Vue.js)

* Machine Learning Researcher - https://apply.workable.com/giskard/j/E89FE8E310/ (post-PhD)

* Machine Learning Developer Advocate - https://apply.workable.com/giskard/j/87B72E09C7/ (ML + DevRel experience required)

Giskard | Multiple Roles: Machine Learning researcher, Senior Software Engineer & Developer Advocate | Full-time, hybrid | Paris, France head office open to talent located in UTC+0 / UTC+2 timezones | https://giskard.ai/jobs

At Giskard, we are building the first collaborative & open-source Quality Assurance platform for AI models that complies with upcoming AI regulations & standards. Founded in 2021, we are an emerging leader in the new market of AI Quality.

Giskard helps AI & Business teams collaborate to evaluate & test 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 platform is used by dozens of AI teams across industries, both at enterprise companies & startups.

We recently raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer Venture Partners and notable angel investors. To read more about this fundraising and how it will accelerate our growth, you can read: https://www.giskard.ai/knowledge/news-fundraising-2022

We are assembling a team of champions, and we help each other achieve high standards & goals!

Apply here: https://giskard.ai/jobs

Metamorphic testing is increasingly popular in AI because it's particularly adapted to the Machine Learning context. In a nutshell, it's about assessing the behavior of your AI model after perturbations (changes in input data). As a benefit, it enables you to implement tests of your AI without knowing the ground truth label.