Jobs at Mistral AI

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

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

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

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

Design, build, and operate scalable, highly available cloud infrastructure for customer-facing APIs and large model training. Implement automation, CI/CD, container orchestration, monitoring, incident response and on-call duties. Collaborate with engineers on reproducible model training, security, documentation, and tooling; contribute to open-source and reliability improvements.

Build and deploy client-facing agentic cybersecurity solutions: compose red-team/blue-team workflows, configure harnesses for cloud defense, vulnerability scanning and pen-testing, design context engineering and multi-agent orchestration, turn prototypes into production services, iterate with client feedback, and collaborate with pentesters and SWE-Cyber for accuracy and platform support.

Run offensive security engagements for clients and Mistral: scope, execute tooling, triage findings, advise on remediation, pentest internal systems, hunt vulnerabilities in the wild, and guide development of AI-powered offensive tooling and benchmarks.

Drive adoption and production deployment of Mistral's AI for science-heavy projects (computer vision, robotics, embodied AI). Lead executive workshops, design AI roadmaps, architect end-to-end solutions, run pilots, partner with Applied AI and Research, monitor KPIs, and expand accounts. Travel ~30-60%.

Provide daily HR guidance and partner with line management to advocate culture and improve employee morale. Lead HR projects—talent retention, training, career paths, performance reviews, and work-life sustainability—across EMEA with French labor law expertise. Manage the full employee lifecycle, report HR metrics for decision support, and streamline HR processes for compliance and better employee experience.

The AI Deployment Strategist will drive the adoption of Mistral's AI solutions in cybersecurity, collaborating with executives, designing AI roadmaps, and ensuring successful deployment and customer success in securing digital assets.

Assist in innovative AI research, develop SOTA models, and collaborate with teams on various complex use cases, especially focusing on text, image, and speech modalities.

The role involves defining and building AI-agent interactions, driving product development, and collaborating with various teams to ensure product success.

Own IT and Data procurement: define category strategies, lead global negotiations, manage renewals and supplier panels, run RFPs to contracts, rationalize tooling, and drive P2P digitization to reduce cost and complexity.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

As an Applied Scientist at Mistral AI, you will develop AI Physics Models, build simulation datasets, train models, and collaborate with engineering teams to enhance AI and simulation integration in industries like automotive, aerospace, and semiconductors.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

As a founding engineer in Mistral's Applied AI SRE sub-team, your role involves building reliable frameworks, operating customer environments, and leading security operations for AI solutions.

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

As a Backend Engineer, you will develop high-performance backend systems and APIs, design scalable architectures, and collaborate cross-functionally to deliver features for our Cloud solutions.

Manage human data operations for AI model development, overseeing contractor teams, data collection campaigns, and cross-functional communications.