This job ad has been posted over 40 days ago! (*)
The scikit-learn team at Inria foundation is looking for a engineer to help with speed while maintaining statistical compliance for machine learning with scikit-learn. The position is an engineering position to support speed and performance improvements to scikit-learn. The most important duties will be building and maintaining the infrastructure to benchmark and monitor performance across various hardware platforms. The goal is to enable open and reliable optimizations by the community, as well as to set a framework for low-level optimized variants of algorithms that are statistically and API compatible with core scikit-learn algorithms. The central duties will be:
The ideal candidate will:
We are open to different levels of seniority.
Context: scikit-learn @ Inria foundation
Scikit-learn is a reference open-source software project, used by hundred of thousands of people worldwide for data science. It is developed by a very large international community of open-source contributors.
The Inria foundation has partnered with private actors to fund a team that works on scikit-learn. The team is made of developers, experts on machine-learning methods, and a community and operation manager.
The position is physically located in the scikit-learn team at Inria Saclay, in Palaiseau France, close to Paris. Salary will be depending on experience. The position comes with standard benefits in France, in particular social security and retirement plan (the position is a “CDI”, “Contrat à Durée Indeterminée”).
To apply, contact gael.varoquaux at inria.fr.