The ALMAnaCH project-team at Inria Paris is recruiting for a 2-year
research engineer position to work on the TraLaLaM ANR project.

Deadline for applications: 21st January 2024

Applications should be made exclusively via Inria's recruitment
platform: https://jobs.inria.fr/public/classic/fr/offres/2023-06973.
You will also find additional information concerning the position,
advantages and required documents for applications.

Context of the offer
The aim of the TraLaLam ANR project, led by SYSTRAN and in
collaboration with the Sorbonne Université (ISIR, CNRS) and Inria, is
to investigate the use of large language models (LLMs) for machine
translation, particularly whether it is possible to train them to
handle new language pairs, domains and styles without the use of
parallel data. There will be a focus on low-resource dialects and
dialectal languages.

The role of the engineer will be to work carry out experiments on using
LLMs for low-resource scenarios on which they were not originally
trained. In particular, this means implementing approaches for adapting
LLMs to unseen languages such as embedding-based approaches (e.g. Kumar
et al. 2021), multilingualism and transfer with similar (seen)
languages (e.g. Song et al. 2023) and synthetic data creation (e.g.
Tars et al. 2021).

The engineer will be co-supervised by Rachel Bawden and Benoît
Sagot at Inria Paris (France) in the ALMAnaCH project-team in
collaboration with SYSTRAN and Sorbonne Université (ISIR, CNRS).

Profile sought
Candidates should have a Master 2 or equivalent (e.g. engineering
school) in computer science (speciality artificial intelligence,
machine learning or natural language processing). They should have a
good level in programming (python), experience with neural networks and
an interest in natural language processing. A good written and spoken
level of English is required and a good level of French would be a
plus.

We are looking for highly motivated candidates with a strong background
in NLP and machine learning. Ideally, candidates should be able to show
initiative, creativity and have a good eye for analysis of data and
results.