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.
Internships:
Masters-2 level internship, typically leading to a PhD on a similar topic:
- Supervised learning with missing values (missing values, representation learning, neural networks, statistics) with Marine Le Morvan and Gaël Varoquaux.
Post-doc positions:
From missing values to deep learning on sets: We are looking for a post-doc to work on models and architectures for structured but non-rectangular data, such as data with [Not applicable] missing values and small relational databases.
Data scientist:
Collaboration on a hospital database: Ingénieur(e) data science collaboration Inria – AP-HP Entrepôt de données de Santé (EDS)
Alexandre Perez and Marine Le Morvan
