May 19, 2021
Paris, France (75010)
As a Machine Learning Engineer, you will have the opportunity to build a secure application for collaborative federated machine learning. This product enhances the collaboration between data experts (e.g., medical expert, data engineer) and data scientists across multiple data centers.
More precisely, it makes it possible to annotate, prepare and visualise data to be used to build a machine learning model. It also enables the training of a machine learning model across multiple data centers storing highly sensitive data (federated learning).
You’ll work in a team of software engineers in close collaboration with the product team, data scientists and operations team. You will actively contribute to the technical design and implementation of the APIs and libraries of the platform.
In particular, you will:
Design and implement efficient ML tooling (data preprocessing tools, ML algorithms, …).
Design and implement privacy enhancing technologies.
Design and implement state of the art federated learning strategies.
Develop libraries to facilitate data scientists interactions with the platform
Work on key initiatives to keep a high productivity — such as improving our code, tests, and promoting new tools
The position can be located in our Nantes (or Paris)-based offices or be a remote position within France.