Applied Scientist (Multimodal AI) — EMEA

Mistral.ai

Paris

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 4 jours
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Résumé du poste

Mistral AI is seeking Applied Scientists and Research Engineers to advance cutting-edge AI research across modalities. You will develop models for text, image, and speech, and explore novel methods with cross-functional teams to deliver high-impact solutions.

Join researchers, engineers, and product builders who thrive on solving real-world AI challenges. We value independent, low-ego collaboration and expect fluency in English, strong Python coding skills, and hands-on experience with PyTorch

Qualifications

  • Fluent in English and able to explain complex ideas clearly.
  • Track record of research or engineering in AI/ML.
  • Comfortable navigating large codebases with minimal guidance.
  • Experience with Python-based ML tooling and pipelines.

Responsabilités

  • Run pre-training, post-training and deploy state-of-the-art models on GPU clusters.
  • Address diverse real-world problems across robotics, finance, cybersecurity, and more.
  • Generate and curate data for pre-training and evaluation of models.
  • Develop tooling to support data generation, training, evaluation and deployment.
  • Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
  • Manage research projects and communications with client research teams.

Connaissances

English fluency
Independent learner
Collaborative
Strong communication
Problem solving

Formation

PhD / Master in ML/Math/Physics

Outils

PyTorch
JAX
Python

Description du poste

Mistral AI is seeking Applied Scientists and Research Engineers to advance cutting-edge AI research across modalities. You will develop models for text, image, and speech, and explore novel methods with cross-functional teams to deliver high-impact solutions.

Join researchers, engineers, and product builders who thrive on solving real-world AI challenges. We value independent, low-ego collaboration and expect fluency in English, strong Python coding skills, and hands-on experience with PyTorch

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