Machine Learning Research Intern, Giskard
Salary: between 1600€ and 2000€ / month
1-3 days a week in office
Testing framework for ML models
Job no longer available
Testing framework for ML models
21-100 employees
Job no longer available
Salary: between 1600€ and 2000€ / month
1-3 days a week in office
21-100 employees
Company mission
To provide AI professionals with a collaborative and open-source Quality Assurance platform to evaluate and test the quality of all AI models.
Role
Who you are
- 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
- Prior internship experience or projects in tech companies is a must
- 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.)
- Strong written and oral communication skills in English. French is a bonus
- Quick learner with a proactive attitude and the ability to work autonomously
- 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
- Contribute to develop core ML products for testing, explaining and debugging of Large Language Models or Computer Vision models
- Conduct our scientific & technological watch: read papers and test tools related to AI Quality & Safety
- Have a real impact in a startup at the forefront of the Responsible AI movement
Application process
- You can get an offer in 3 weeks
- Fit interview: 15 minutes
- Tech exercise: 10 days to complete
- Tech interview: 45 minutes
- Final interview: 45 minutes
Otta's take
Sam Franklin
CEO of Otta
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.
Insights
Company
Funding (2 rounds)
Mar 2023
$2.8m
GRANT
Dec 2022
$1.7m
SEED
Total funding: $4.4m
Company benefits
- Remote-flex working models
- Remote office kit including MacBook computer, external monitor, keyboard, mouse, etc.
- Equity package
- Health insurance (Alan)
Company values
- Passionate about building robust solutions to real-life problems
- Driven by customer needs and outstanding user experiences
- Hungry to learn and improve every day
- Conscious about technology's role in our society
- Empathetic team players
Company HQ
Gare, Paris, France
Articles
Founders
Alex Combessie
(CEO)Previously a Data Scientist for Capgemini. Held a number of roles related to data science and software engineering at Dataiku.
Dr Jean-Marie John-Mathews
(Co-founder)Has been a university lecturer at Université Paris Dauphine, Sciences Po and Aivancity School for Technology, Business and Society. Before co-founding Giskard, was a Manager at Chaire Good In Tech.
Andrey Avtomonov
(CTO)Has been a Software Engineer for numerous places, including CERN, Sberbank-Technology and Dataiku.
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