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Salary
≈ $49k – $105k per year (Estimated)
Location
Hybrid (Rueil-Malmaison, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Polynom is a European agentic AI firm. We design, deploy, and operate production-grade multi-agent systems that take over critical business processes — from financial close and compliance to claims, pricing, and workforce planning. We don.

Rejoignez Polynom, une entreprise innovante dans le domaine de l'intelligence artificielle. En tant que Research Scientist, vous participerez à des projets ambitieux liés à la NLP, la vision par ordinateur et la multimodalité. Vous travaillerez avec des technologies de pointe et contribuerez à des projets de recherche appliquée, de développement de modèles avancés et d'innovation technique.

Missions

  • Participer à des projets ambitieux sur des sujets variés de NLP, de vision par ordinateur et de multimodalité.
  • Concevoir et développer des systèmes agentiques avancés et autonomes, ainsi que des prototypes multimodaux.
  • Identifier des approches novatrices pour résoudre des problèmes en IA générative, et participer à la conception de solutions algorithmiques adaptées.

Profil recherché

* **Formation** :

* Titulaire d’un doctorat avec une spécialisation en intelligence artificielle, machine learning ou discipline connexe.

* **Compétences Techniques** :

* Bonne maîtrise des architectures de modèles génératifs (Transformers, diffusion models, multimodal LMMs, world models).

* Expérience avec des librairies de NLP/Deep Learning/multimodal (PyTorch, HuggingFace, LangChain/LangGraph…) et outils d’orchestration agentique.

* Programmation Python avancée.

* **Compétences Complémentaires** :

* Esprit d’analyse et goût pour l’innovation.

* Capacité à vulgariser des concepts techniques.

* **Bonus** :

* Familiarité avec les technologies Cloud (GCP, AWS, Azure).

* Principes et bonnes pratiques de développement (CI/CD, testing agentique).

* Expérience avec les protocoles d’intégration agentique comme MCP (Model Context Protocol).

* Connaissances en modèles de raisonnement avancés, world models, optimisation de modèles (quantization, distillation, routing hétérogène large/small).

* Familiarité avec les approches multi-agents collaboratifs et explainable autonomy (audit trails, human-in-the-loop).

* Publications ou contributions dans des domaines agentiques, multimodaux ou world models

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