Parental leave
We have many parents in the team and provide equal parental leave to both genders.
Giskard
Benefits
Generous equity package
We offer 0.1 to 0.5% of stock options depending on the skills & experience level.
Health, Food & Sport benefits
We offer the best health insurance plan in France, Alan Blue. We also offer Swile meal cards and Gymlib membership for sport & well-being.
Culture of continuous learning
Every Friday afternoon, you can allocate time to learn without meetings. We also organize paper club sessions to learn about the latest state of the art in research.
Remote-flex
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. You can also work from other regions/countries on an occasional basis - just let us know 4 weeks in advance.
Perspectives of evolution
As we grow & scale from a startup to an established leader in AI Quality, we plan to provide many career paths and leadership opportunities, both from a management perspective and an individual contributor perspective.
We offer competitive salaries, and all full-time employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.
Rabah Abdul Khalek, Machine Learning Researcher
My core job is to develop the machine learning part of our product, which includes Integrations with the MLOps ecosystem, incorporation of new data types (like Computer Vision and Time Series), and researching new quality and statistical metrics. Moreover, I write articles on the interface between explainability, ethics, and machine learning. Coming from a theoretical particle physics background, I started to appreciate the importance of the user experience and the business value of my work at Giskard. I became more structured in writing code and a proponent of ethical and responsible AI.
"Joining Giskard made me more structured in writing code and a proponent of ethical and responsible AI."
Training
Becoming an expert in software development and machine learning is challenging. We ensure that every team member feels comfortable in the domain of AI quality control. From the first day at Giskard, employees go through business and technical onboarding and then continue learning with the help of our mentors and participating in conferences. Learning on your own is something we also allocate time for.
Team Life
Rituals and events
Being an open-source product, we promote openness and asynchronous communication to allow all team members to participate in the decision-making. We conduct regular company-wide updates to ensure everyone aligns with the global goals. At the same time, feature development meetings are held weekly to resolve blockers.
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