CEA LIST is a technological research institute specializing in the design and
development of complex or software-intensive systems (https://www-list.cea.fr).

Within the LIST Institute, the Vision and Content Engineering Laboratory
(LVIC) employs around 50 researchers and engineers working on the analysis and
interpretation of multimedia data (text, image and video analysis). In the
field of Artificial Intelligence, the laboratory develops robust algorithms for
extracting, analyzing and processing large volumes of multimedia data. Our
technologies have contributed to the emergence of new economic activities
through the creation of startups such as ANT’Inno. In addition, the laboratory
participates in numerous collaborative projects (ANR, Europe FP7,
Competitiveness Clusters) with academic partners, SMEs or major companies.

As part of its mission of transfer and valorization of its technologies, the
laboratory seeks a collaborator to industrialize and integrate software
modules in the field of deep learning for natural language processing ??and
more particularly the extraction of named entities and relations. The
applications targeted by these technologies are e.g. information extraction
and watch.


The laboratory’s industrial partners wish to improve their competitiveness and
open up new markets and services in watching, analyzing and understanding the
multimedia documents they encounter. The challenge of these projects lies in
the ability to automate complex, multilingual collections, analyzes,
discoveries and semantic searches on heterogeneous documents. The partners
will then gain in speed and reliability in their process of monitoring
internal and external information. The ultimate goal is a significant increase
in analyst productivity, which will lead to reduced costs and HR deployment to
higher value-added activities.

Several research projects are entering a phase of maturation and accompanying
the integration of these tools based on neural networks into larger
information systems. In this context, the work of the engineer will consist
– industrializing the source code of language processing software modules
using deep learning frameworks, mainly TensorFlow;
– supporting the integration of these technological modules into important
software systems;
– improving the functioning and the quality of the software developed, in
interaction with the users.




Computer engineer with a machine learning background.

The candidate will be proficient in C++ development under GNU/Linux and
Microsoft Windows. Knowledge of deep learning frameworks such as TensorFlow,
Caffé2, etc. would be a plus. Required skills also include python proficiency.
Notions of continuous integration will be useful.
A good knowledge of natural language processing (NLP) is highly desirable.

Professional qualities: open-mindedness and curiosity, ability to work in a
team, strong motivation for research and innovation.

Specific requirements:

Full time position for 18 months

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About CEA

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas:

defence and security,
nuclear and renewable energies,
technological research for industry,
fundamental research in the physical sciences and life sciences.
Our first and largest alternative energy implementation project to date is the development of a biofuel production and distribution facility at Bing's Creek in partnership with the Cowichan Bio-Diesel Co-op (Co-op)