Machine Learning Intern

Over the past four years, Nabla has dedicated its resources to the development of Nabla Copilot: an innovative ambient AI assistant designed to relieve clinicians of the burden of clinical documentation. At its core, Nabla is about the clinician. Bringing together a team of machine learning engineers from esteemed AI labs like Facebook AI Research, along with a group of physicians at the heart of the product since the very beginning, Nabla is at the forefront of advancing AI in healthcare. This collaborative effort has resulted in superior performance, validated by a community of over 25,000 clinician users.

Nabla successfully deployed Copilot in numerous health systems and secured $44 million in funding.

As a Machine Learning intern, you will be working on automatically extracting structured facts from medical discussions between doctors and patients. Our existing system runs several ML-driven tasks sequentially. The internship will be focused on newer end-to-end methods, to evaluate the replacement of this ML pipeline with a single model. On one hand, you will assess the possibility of improving the performance using an end-to-end method. On the other hand, you will prepare such a system so that it can be deployed in production.

This position is full-time and based in Paris.

Your DNA

• You have a good machine learning background
• You can design, reuse, adapt, train and test neural networks
• You want to deploy models in real products & on various platforms (server, mobile, etc)
• You’re passionate about applying cutting-edge research in the real world
• You don’t use a neural net if a logistic regression will do
• Data preprocessing & labeling is your true and only passion
• You get your news from arXiv
• You heat your home with GPUs (or just use Colab)