Giskard is hiring a

Machine Learning Researcher

Paris, France
Full-Time

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:

  • The Giskard Python library helps Data 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.
  • The Giskard server 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.

In 2022, we 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.

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.

Working directly with Giskard's Chief Product & Science Officer, your missions will be to:

  • Design & develop core ML products: LLM, Computer Vision & Time Series debugging, testing & monitoring
  • Produce data science content: papers, conferences, blog articles, etc.
  • Conduct our scientific watch: academic paper reading in ML Testing, FairML and XAI
  • 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 an entrepreneurial doer with a growth mindset and a minimum of 4 years of experience. We are hiring people located in France or willing to relocate.

Skills

  • You have a Ph.D. in Machine Learning / Artificial Intelligence.
  • Strong skills in the Python data science stack, especially with pandas, scikit-learn, tensorflow, torch, and transformers
  • You have strong skills in software engineering (use of Git, industrial-level code, etc.)
  • Technical and non-technical writing skills in English
  • Reading research papers and turning them into operational tools

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 calls: 2 persons
  • 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 come to our office at Station F on a weekly basis if you live around Paris. You can also work remotely and come to the office on a monthly basis.

We offer a remote office kit to all full-time employees: a MacBook computer, external monitor, keyboard, mouse, etc. We also offer the best health insurance plan in France, Alan Blue.

All 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 60 000 € and 90 000 € / year (brut) + 0.1 - 0.3% of equity

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