ML Engineer Specialized in Natural language processing – Qwant Research

Born from an audacious challenge, Qwant is the first search engine to develop a genuine alternative on the European online search market. What makes us unique is that we don’t track our users, we know nothing about each of them, and still, we aim to help them find what they are looking for on the Internet.

Ambitious, isn’t it? Today, after a successful fundraising, we are looking for new talents to help us make the Web.

If you want your work to actually mean something and help millions of users, if you think that privacy matters even when you have “nothing to hide”, if you like to be challenged and you are not afraid of failure, then we might have a few things in common.

Job description:

Within Qwant Research, you will join our Datascience and Deep learning team, where you will play a key role in designing, building and evaluating NLP systems with a focus on information extraction, text mining, classification, query understanding and disambiguation.

Your mission will include:

Evaluate and differentiate techniques, tools and approaches to Speech/NLP problems.

Improve our models or design new ones  for named entity recognition, context identification, text categorization, or other language related task.

Create and qualify language datasets.

Staying up to date with latest NLP research and applications to share internally

Contributing to the company’s deep learning research projects

Background & Skills:

You have experience of machine learning techniques, with an academic or industry experience in deep learning for Natural language processing.

You are capable to design production-ready models.

Familiarity with existing deep learning libraries (TensorFlow, Keras, PyTorch,  etc.)

Solid development experience, preferably in Python.

A language such as German or Italian would be a big plus.






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