Dassault Systèmes
511377 – Internship - Data scientist, Hyper-parameters selection in embeddings (M/F)
France, French Republic
10 Place de La Madeleine
75008 PARIS
Software Development


Imagine new horizons

In the Industry Intelligence team we develop new algorithmic approaches to information extraction. We develop generic solutions in partnership with customers. We sell them internally in the form of solution prototypes that make sense and create value for the industry. We support the applications once deployed.

Hyper-parameters selection in embeddings


The Challenges ahead

DS analytics solutions rely on embedding techniques to vectorize data and remove biases from original representations of a variety of objects. Since we primarily sell software, not service, we rule out manual, adhoc optimization. So the goal is to identify hyper-parameters of the embedding models with high impact on embedding quality, and high dependence on input data, and approaches to automatically set them.

This may apply to embedding of multiple types of data: text, semi structured documents, graphs, and time series. The goal is to improve approaches that we have already at least in R&D.

Your Key success factors


Profile: software engineer (Python), data scientist (deep, semantics, signal)

Scientific mindset, ability to deliver, team work.

  • Resume
Yes (if validated by Embassy)

Company details

Information and Communications Technology
Dassault Systèmes, the 3DEXPERIENCE Company, provides business and people with virtual universes to imagine sustainable innovations. Its world-leading solutions transform the way products are designed, produced, and supported. Dassault Systèmes’ collaborative solutions foster social innovation, expanding possibilities for the virtual world to improve the real world. The group brings value to over 230,000 customers of all sizes, in all industries, in more than 140 countries. For more information, visit