Call for Applications: 2019 Research Internships @ Google Brain, Paris
The Google Brain team in Paris is recruiting students for internships at the MSc or PhD level to conduct research on fundamental aspects of machine learning. We are interested in the theoretical and algorithmic foundations of machine learning techniques, and their applications to various domains. We focus particularly on
- reinforcement learning,
- theory and algorithms for deep learning,
- variable selection and representation learning,
- causal inference in complex models,
- fairness and robustness in machine learning,
- statistical learning theory and statistics in high dimension,
- large-scale optimization,
- computational biology and healthcare.
Our goal is to propose new tools to the community, by digging out new ideas for machine learning in more fundamental areas of mathematics and computer science. We have ressources and access to projects impossible to find elsewhere. Our broad and fundamental research goals allow us to contribute uniquely to many different product teams across the company, and to collaborate closely with the thriving academic environment.
- Be currently enrolled in a MSc (M2 in France) or PhD program in applied mathematics, statistics, computer science or related fields.
- Demonstrate a strong interest for methodological machine learning research, as typically showcased in major conferences, including NIPS, ICML, AISTATS, CVPR, ACL, EMNLP, etc...
- Excellent coding skills in a major language (preferably Python) and knowledge of machine learning frameworks (such as TensorFlow).
Interested students need to apply through the Google application submission platform. The selection process is common across Europe, Middle East and Africa, and you will have the opportunity to choose your preferred location.
You should address questions to any of the relevant researchers from the Brain Paris team: Marco Cuturi, Mathieu Geist, Olivier Pietquin, Jean-Philippe Vert.