AI Research Scientist

• Develop and optimize large language models, agentic AI, and deep learning frameworks for scientific discovery
• Improve LLM capabilities for literature synthesis, autonomous experimentation, and rigorous derivations
• Participate in end-to-end training of LLM-based solutions focused on scalability, generalization, and scientific applicability
• Design workflows to accumulate high-quality scientific data at scale through synthetic or crowdsourced pipelines
• Use and improve reinforcement learning and agentic systems for natural-science challenges
• Collaborate with natural-science domain experts to identify AI opportunities and refine models based on feedback
• Contribute to infrastructure for scientific model training and open-source AI tools for science
• Set a research agenda for AI in science and explore high-risk/high-reward ideas
• Translate AI advancements into practical scientific impact

Explore LLM Scientist, AI for Science at Mistral AI. Review requirements and application details.