[Open Position] Research Engineer - Machine Learning and Large Language Models - EURECOM

[Apologies for Cross-Posting]

The Data Science Department at EURECOM, Sophia-Antipolis France, invites 
applications for a Research Engineer position. The candidate will work 
as part of a department-wide project, which aims at developing our 
research activities on large language models (LLMs).

We are looking for fresh, ambitious and hard-working software engineers 
with a clear passion for turning ideas in the field of machine learning 
into fully-functional prototypes, demonstrators, and systems, using 
cutting edge machine learning libraries, and computing facilities.

The position is funded by a French National project on Artificial 
Intelligence, and targets the development of LLMs in several flavors. 
Our first goal is to target an audience of EURECOM staff, including 
researchers and administration, to offer novel conversational agents 
that can use internal, multimodal information to interact with users for 
Q&A, summarization, in-filling and many other tasks. A second ambitious 
goal is to offer innovative educational services to EURECOM students, by 
designing novel conversational agents instructed to follow Socratic 
interactions. Such conversational agents will be augmented with teaching 
material (lecture notes, slides, video lectures, code from labs, etc…) 
which should be used and referenced in conversations.

The successful candidate will work in close relation with professors, 
postdoctoral researchers and Ph.D. candidates, and will lead 
contributions to: (i) the implementation and deployment of state-of-the 
art, open-source LLMs, including inner components (novel attention 
mechanisms, novel tokenization schemes, key-value caching, to name a 
few) and outer components (such as retrieval augmented generation) (ii) 
the definition of appropriate methodologies for training and, most 
importantly, fine-tuning of our internal LLMs, (iii) the definition of 
appropriate benchmarks and validation methodologies, and (iv) 
communication to a public of developers, engineers and practitioners 
through technical blogs, online demonstrators (e.g. HuggingFace spaces, 
on-site deployment) of our results, as well as to demonstrate the 
various releases of the prototype to EURECOM management teams.

Since our activities are fueled by an important public fund, in the 
context of the French Government plan for AI, called the 3IA, the 
successful candidate will also participate to project meetings and 
reviews, as well as public demonstrations of research results.

Requirements:
* Education Level / Degree: Ms.c. or Ph.D. degree in Computer Science, 
Applied Mathematics, Physics, or a closely related area with a strong 
background on algorithmic development and software engineering
* Applicants should have a good background on machine learning, a taste 
for learning new topics related to machine learning research, as well as 
proven experience in the design of solid software engineering artifacts
* Applicants should have strong communication skills, with target 
audiences ranging from the scientific and academic community, as well as 
engineers and product managers
* The working language in the department is English.

Application
The application must include:
* Detailed curriculum, including (if available) a list of software 
engineering projects, public demonstrators, and contributions to 
open-source projects
* a cover letter describing the applicant’s interests
the contact details of 2/3 persons that can provide references about the 
candidate
* the transcripts of courses taken at graduate (and optionally 
undergraduate) level

Applications should be submitted by e-mail to 
Pietro.Michiardi@eurecom.fr and secretariat@eurecom.fr with the 
reference :  DS/PM/EFELIA-LLM/102023

Applications will be accepted until the position is filled.

Start date: ASAP

-- 
Raphaël Troncy
EURECOM, Campus SophiaTech
Data Science Department
450 route des Chappes, 06410 Biot, France.
e-mail: raphael.troncy@eurecom.fr & raphael.troncy@gmail.com
Tel: +33 (0)4 - 9300 8242
Fax: +33 (0)4 - 9000 8200
Web: http://www.eurecom.fr/~troncy/

Received on Friday, 13 October 2023 12:51:54 UTC