Find your next AI-scored role.

Data engineer at Mistral AI building scalable data pipelines and infrastructure to support AI model training and business analytics. Role involves designing ETL processes, data warehousing solutions, and ensuring data quality across large-scale distributed systems.

Applied AI Engineer at Mistral AI focused on DevOps and ML infrastructure. Deploys and scales AI applications for customers, manages production infrastructure from GPU stack to cloud platforms, and collaborates on customer projects involving inference and fine-tuning.

Senior/Staff Applied Scientist or Research Engineer at Mistral AI developing state-of-the-art models across text, image, and speech modalities. Responsibilities include pre-training, post-training, model deployment on large GPU clusters, data curation, and cross-functional collaboration on AI solutions.

Lead QA Engineer at Mistral AI designing test strategies for AI products, APIs, and ML models. Focus on test automation, edge-case analysis, and quality platform development for enterprise AI systems.

Data Engineer at Mistral AI building scalable data pipelines and infrastructure to support AI model training and analytics. Work with large data volumes, ETL processes, and cloud data warehousing solutions.

Machine Learning Engineer at Mistral AI responsible for open-sourcing state-of-the-art models and maintaining Mistral's public libraries like mistral-common and mistral-inference. Work spans releasing models to platforms like Hugging Face and vLLM, optimizing libraries for production, and collaborating with the open-source community.

Research Engineer at Mistral AI building large-scale ML training systems and pipelines for open-weight models. Work spans platform infrastructure and embedded research squads, optimizing distributed training on thousands of GPUs.

Applied AI engineer at Mistral AI deploying GenAI solutions for enterprise customers. Combines ML expertise with customer engagement, handling fine-tuning, RAG, and agentic use cases from pre-sales through production implementation.

Site Reliability Engineer at Mistral AI building scalable, highly available infrastructure for AI platform and ML workloads. Focus on Kubernetes, Terraform, monitoring, and incident response across distributed systems.

Data Scientist at Mistral AI analyzing user behavior and optimizing AI product performance. Role involves designing experiments, building ML models, and collaborating across product and engineering teams in Paris.

AI Scientist at Mistral AI researching and developing novel methods for large language models. Focus on training, evaluation, and infrastructure for frontier AI systems at scale.