Research Engineers - Exploring alternative training for generative neural models

Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Chercheur contractuel

Niveau d'expérience souhaité : Jeune diplômé

Contexte et atouts du poste

As part of the training of generative language models as done in Almanach the past few years.

Is regular travel foreseen for this post ? 

Travels  for presenting results at conferences are planned and fully funded.

Computing resources:

access to high level Inria clusters and to the Jean Zay HPC cluster are granted.

Mission confiée

Assignments :
Large scale experiments of alternate loss objective.

 

Contact Benoit Sagot for more informations.

 

Collaborations :
The person recruited will work in close liaison with Almanach's PhD Students

Responsabilities :

The person recruited is responsible for developing algorithms and models and evaluating performance through large-scale experiments. They will take all the necessary scientific initiatives and will have to contribute to the publication of their results within the framework of the project.

Steering/Management :

The person recruited will be placed under the co-scientific responsibility of Djamé Seddah, Eric de la Clergerie and Benoît Sagot, scientific manager of the ALMAnaCH team.

Principales activités

Main activities :

  • Establishing the state of the art of relevant techniques to the project
  • Software development
  • Conducts of experiments
  • Preparation of reports and publications
  • Release as open source the resulting software and ressources  

Compétences

Technical skills and level required :

Excellent level of python + all tools needed for data science, deep learning and natural language processing.

Experience with large scale experiments

Relational skills :

Team worker, autonomous and eager to dissiminate results.

Other valued appreciated :
Enthusiasm, team spirit.

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