Jobs at Mistral AI

The Applied Scientist will develop and deploy AI Physics Models, manage simulation campaigns, train models, and collaborate with engineering teams on AI solutions.

The role involves identifying impactful problems in STEM, leading research projects using AI/ML solutions, and collaborating with multidisciplinary teams. Candidates should have expertise in physics, chemistry, or materials science, along with skills in scientific coding and AI technologies.

Design end-to-end user experiences for Observability in AI Studio, focusing on intuitive interfaces and collaboration across teams. Prototype and ship designs while contributing to the design system and overseeing technical documentation.

Seeking an experienced Site Reliability Engineer to enhance platform reliability, scalability, and performance by balancing operations with long-term software engineering improvements.

As an AI Deployment Strategist, you'll drive the adoption of Mistral's AI solutions by collaborating with customers, designing AI roadmaps, and ensuring successful deployment and value realization.

The Legal Counsel will draft and negotiate contracts related to AI technologies, provide strategic legal advice, ensure compliance, and collaborate with teams on legal matters.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

The Applied AI Engineer will deploy AI solutions for clients, work on GenAI applications, manage stakeholder relations, and collaborate on product improvements.

Lead the design of Mistral's documentation, enhancing usability and clarity through cross-functional collaboration, innovative UI/UX, and user-centric approaches to complex concepts.

As a DevOps/Platform Engineer, you will design and implement systems, optimize data pipelines, and collaborate with researchers to enhance productivity.

Design end-to-end user experiences for cloud and infrastructure products, focusing on usability for developers and AI workflows while collaborating with engineering and product teams.

The role involves building and managing scalable data infrastructure, optimizing multi-cluster orchestration, and ensuring data access for MLOps and research while transitioning from legacy systems to modern storage.

The Talent Acquisition Lead recruits top talent while leading a team of recruiters to enhance recruiting strategies and processes.

As a Software Engineer, you will deploy models, integrate APIs, enhance infrastructure, ensure AI safety, optimize resources, and maintain high service availability.

As a Commercial Account Executive, you will drive revenue growth by managing the sales process, cultivating relationships, and expanding accounts in North America, focusing on B2B tech solutions.

The Code Data Quality Specialist reviews code annotations for AI model training, maintains internal tooling, and troubleshoots issues while ensuring high-quality data production.

As an Applied AI Engineer, you will design, build, and deploy full-stack AI prototypes, manage client engagements, and drive technical innovation through collaboration and problem-solving across industries.

The Talent Acquisition role involves partnering with hiring managers to find top talent, improving recruitment processes, and managing candidate experiences in a competitive market.

As a Software Engineer, you will develop and maintain backend features, ensuring system architecture is efficient and secure, while collaborating with cross-functional teams and tackling complex challenges.

As a Senior AI Deployment Strategist, you will drive AI adoption for enterprise clients, leading deployments from strategy to integration while advising C-suite executives.