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, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models.

We are building the first collaborative & open-source Quality Assurance platform for *all* ML models. We already empower customers with two solutions:

1. The Giskard Python libraryhelpsData Scientists detect hidden vulnerabilities in ML models.

It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation.

2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate

It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and ML debugging interfaces. Install it following this documentation.

Track record

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 our announcement.

We also 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.

Last November, Giskard was featured in TechCrunch!

Your role

For your internship at Giskard, you can choose between 2 tracks: the DS writer or the DS developer track.

As a Data scientist Writer, you will:

• Produce data science content: papers, conferences, blog articles, etc.
• Train various of ML models to create technical contents (notebooks, code snippets, etc.)
• Conduct our technological watch: testing of tools for quality in ML
• Be at the forefront of the Responsible AI new wave of innovation

As a Data scientist Developer, you will:

• Design & develop core ML products: Computer Vision & Time Series inspection & testing
• Conduct our technological watch: testing of tools for quality in ML
• Be at the forefront of the Responsible AI new wave of innovation

Requirements

We are looking for end-of-year internships leading to a full-time hire. For now, we are hiring only interns enrolled in French universities.

Skills

• You are in a Data Science Master degree or Bachelor degree
• Strong skills in the Python data science stack, especially with pandas, scikit-learn, tensorflow, torch, and transformers
• You have some skills in software engineering (use of Git, etc.)
• Technical and non-technical writing skills in English

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 3 weeks 🚀

• Fit interview: 15 minutes
• Tech exercise: 10 days to complete
• Tech interview: 45 minutes
• Reference call: 1 person
• Final interview: 45 minutes

Benefits

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 adopt a hybrid work schedule where you come to the office 1-3 days / week.

After internship, 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 1500€ and 1800€ / month