Mistral AI

Research Scientist at Mistral AI focused on pushing the frontier of LLMs, working across use cases and modalities, building training/evaluation infrastructure, and shipping AI systems. Requires strong software engineering and AI framework experience.

Mistral AI is seeking an AI Scientist specializing in Audio to research and develop novel methods for large language models, focusing on speech input/output. The role involves building tooling for training and evaluation, working across modalities and use cases, and shipping AI systems with real-world impact. Requires expertise in speech methodologies, strong software engineering skills, and experience with AI frameworks or distributed systems.

Mistral AI is seeking an AI Scientist to research and develop novel methods for large language models, working across use cases and modalities. The role involves building tooling for training, evaluation, and analysis at scale, and shipping AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production deployment. Ideal candidates have experience training large transformer models and navigating the MLOps stack, with a strong publication record.

Mistral AI is seeking an AI Scientist to research and develop novel methods for large language models, working across use cases and modalities. The role involves building tooling for training, evaluation, and analysis of AI models at scale, and collaborating to ship AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production deployment.

AI Scientist role at Mistral AI focusing on research and development of novel methods for large language models across various use cases and modalities. The role involves building tooling and infrastructure for training, evaluation, and analysis, and collaborating to ship AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production readiness. Ideal candidates have experience training large transformer models, navigating the MLOps stack, and a strong publication record.

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across modalities like text, image, and speech, applying them to diverse use cases, and delivering high-impact AI solutions. Responsibilities include running pre-training, post-training, and deployment on large GPU clusters, generating and curating data, developing tools for training and deployment, and collaborating on agent and RAG pipelines. The role also involves managing research projects and client communications.

Mistral AI is seeking Discovery Scientists to identify and solve key problems in STEM fields (Physics, Chemistry, Material Science) using cutting-edge AI/ML capabilities. The role involves end-to-end research ownership, developing and applying AI/ML solutions, and collaborating with multidisciplinary teams to accelerate scientific discovery and simulations. The ideal candidate has domain expertise, a track record in AI/ML, and broad coding experience in scientific computing and ML frameworks.

Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across text, image, and speech, applying novel methods to diverse use cases, and delivering high-impact AI solutions. Responsibilities include running pre-training, post-training, and deployment on large GPU clusters, generating and curating data, developing tools for training and evaluation, collaborating on agent and RAG pipelines, and managing client research projects.

Research and develop novel AI methods for general-purpose mobile manipulation robots, build tooling and infrastructure for training, evaluation, and analysis of AI models at scale, and work cross-functionally to deploy AI systems on real robot platforms. Requires hands-on experience building/deploying AI on physical robots or developing large vision-language models, strong software engineering skills, and AI framework proficiency.