Job offers

Working at Soda

  • At Soda, you will find a unique mix of leading scientific research and technical expertise to leverage machine learning and statistical signal processing for data-science applications that matter. Working at Soda is a unique opportunity to develop your expertise.
  • Soda is part of Inria, the French computer science institute. This gives us access to collaborations with experts in high-performance computing, databases, machine learning etc.., support services with expert programmers, grid computing and massive storage infrastructures. On top of that, having worked at Inria is a great line on a CV.
  • Soda has close historical ties with the Parietal and scikit-learn team at Inria: we share office space, some of the meetings, and know each other very well. As a result, we form a vibrant human, technical, and scientific community.
  • Soda is committed to high-quality work, both in terms of publications and of open-source software. At Soda you can have a real impact by joining a team that produces methods and software to tackle difficult data-science problems.
  • We value human interactions, all forms of diversity and personal interests.


Masters-2 level internship, typically leading to a PhD on a similar topic:

Post-doc position:

Neural methods for relational data: We are looking for a post-doc to work on database embeddings for data science applications.

Data scientist:

Collaboration on a hospital database: Ingénieur(e) data science collaboration Inria – AP-HP Entrepôt de données de Santé (EDS)

scikit-learn positions:

Machine learning programmer: We are looking for a software engineer interested in developing a plugin system to allow for efficient GPU computing kernels for popular machine learning algorithms in scikit-learn (nearest neighbors, k-means, T-SNE…).

Job Description     |     Job Application



Alexandre Perez and Marine le Morvan


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