Data - Ai Research Engineer H/F INRIA

Data/AI research engineer
Le descriptif de l'offre ci-dessous est en Anglais
Contrat renouvelable : Oui

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Ingénieur scientifique contractuel

A propos du centre ou de la direction fonctionnelle

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40, 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

Contexte et atouts du poste

Context

Interactions and communication within society increasingly take place online, through online media (that
may also reflect content published in print, on the radio, or on TV), and on social networks. Oline communication
raises risks of manipulation, misinformation, or harms, with large audience being reachable at a relatively low cost.
The recent availability of Generative AI tools drives up the volume of potentially false information. Further, the
nature of misinformation is so that false claims often resurface after some time gaps.
Consequently, the fact-checking agencies complain about wasting a lot of effort in re-reviewing such claims.

Mission confiée

Proposed work

The research community has formalized the above problem as: retrieving relevant fact checks given an input claim.
The key challenge is identifying a resurfaced claim as it is often formulated differently than the one already checked;
novel formulations may use paraphrasing, introduce sarcasm, eliminate or replace context, and so on.

Our goal is to design and develop a complete approach for streaming content analysis
which, on one hand, given an input claim, identifies past fact-checks (FCs, in short), and on the other hand,
tracks the evolution and origin of claims, across media content of many forms (social media messages, short
like tweets or longer such as Facebook posts, blogs, news-propagating websites, etc.)
While we will rely as necessary on existing English benchmarks, our focus will
be primarily on French, for which we plan to build and share corpora and models. This work is part of our participation
to ELIAS Work Package 2, related to tools for online democracy.

Principales activités

System design and development

Participating to research activities, including (co-) supervising students that collaborate on the proejct

Representing the team in project meetings

Compétences

Technical skills and level required :

Strong system development skills, established by prior achievements

Very good knowledge of core large-scale data management principles and tools

Good knowledge and capacity to learn more about Neural Network methods that may help our work

Languages : English

Relational skills : Clear, structured, and effective communication, written and oral

Other valued appreciated : Initiative

Avantages

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage

Rémunération

Remuneration in regards to work experience.