LLM Scientist - AI for Scientific Discovery

Mistral.ai; Paris; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Mistral.ai is hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models, agentic AI, and deep learning frameworks to solve open problems in Biology, Chemistry, Physics, and Materials Science.

Your work will empower scientists with cutting-edge AI tools and accelerate research through model-centric innovation, data creation, and interdisciplinary collaboration.

Qualifikationen

• Strong background in LLMs, deep learning, or agentic AI with a track record applying these to real-world problems (publications, open-source contributions, or deployed systems).
• Experience scaling synthetic data generation is ideal.
• Familiarity with latest LLM architectures and post-training techniques.

Aufgaben

• AI/ML Research: End-to-end training of LLM-based solutions with a focus on scalability, generalization, and scientific applicability.
• Data creation: Design workflows to accumulate high-quality scientific data at scale, via synthetic or crowd-sourced pipelines.
• Algorithm Design: Use and improve reinforcement learning or agentic systems for natural sciences challenges.
• Interdisciplinary Bridge: Collaborate with domain scientists to identify AI opportunities and refine models.
• Tooling & Infrastructure: Improve infrastructure for model training in scientific contexts and contribute to open-source AI tools.
• Autonomous Innovation: Set a research agenda for AI in science and explore high-risk ideas.

Kenntnisse

LLMs

Deep learning

Agentic AI

Python

Scientific computing

Ausbildung

Graduate-level science knowledge

Tools

PyTorch

TensorFlow

JAX

Jobbeschreibung

Mistral.ai is hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models, agentic AI, and deep learning frameworks to solve open problems in Biology, Chemistry, Physics, and Materials Science.

Your work will empower scientists with cutting-edge AI tools and accelerate research through model-centric innovation, data creation, and interdisciplinary collaboration.