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Portail > Offres > Offre UMR8554-GWEKER-002 - Ingénieur Machine Learning (H/F)

Machine Learning Engineer M/F

This offer is available in the following languages:
- Français-- Anglais

Date Limite Candidature : mardi 5 août 2025 23:59:00 heure de Paris

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Informations générales

Intitulé de l'offre : Machine Learning Engineer M/F (H/F)
Référence : UMR8554-GWEKER-002
Nombre de Postes : 1
Lieu de travail : PARIS 05
Date de publication : mardi 15 juillet 2025
Type de contrat : IT en contrat CDD
Durée du contrat : 12 mois
Date d'embauche prévue : 1 octobre 2025
Quotité de travail : Complet
Rémunération : from €2540 gross depending on experience
Niveau d'études souhaité : BAC+5
Expérience souhaitée : 1 à 4 années
BAP : E - Informatique, Statistiques et Calcul scientifique
Emploi type : Ingenieure ou ingenieur en ingenierie logicielle

Missions

We are seeking two Machine Learning Engineers to join our team. You will be
responsible for the design, implementation, and empirical evaluation of
metacognitive and self-reflective mechanisms in AI architectures. Your work will
support our research program to develop and test models of self-monitoring,
uncertainty estimation, and introspection in artificial systems.

Activités

- Test and fine-tune pretrained LLMs.
- Design new ML models incorporating metacognitive and self-reflective
components.
- Design benchmark and testing protocols for introspective performance in AI
agents.
- Analyze results and contribute to publications and conferences.
- Maintain clean, well-documented, and reproducible code.

Compétences

- Master's or PhD in Computer Science, Machine Learning, AI, Computational
Neuroscience, or related field.
- Strong experience with large language models (LLMs), including fine-tuning,
and applying them in real-world tasks.
- Solid experience in deep learning with the PyTorch framework.
- Excellent coding skills with a strong ability to prototype and iterate quickly.
- Ability to work in a multidisciplinary team while maintaining a high level of
autonomy.
- Familiarity with uncertainty estimation, Bayesian methods, self-supervised
learning, and/or meta-learning (plus but not required).
- Interest in theoretical and philosophical questions around consciousness and
metacognition (plus but not required).

Contexte de travail

The Brain & Consciousness team at École Normale Supérieure investigates the
neural and computational foundations of consciousness, metacognition, and
self-reflective méchanisms. Our interdisciplinary approach combines
neurotechnologies, cognitive neuroscience, philosophy of mind and cutting-edge
machine learning. This project is a central pillar of the team's new effort in designing
AI systems inspired by human self-awareness, aiming to integrate these insights into
real-world machine learning applications. The team is led by Pr. Sid Kouider, CNRS
research director and former CEO of NextMind (acquired by Snap).