Jobs at Mistral AI

Manage the full-cycle recruiting process, develop search strategies, partner with hiring managers, and ensure a high-quality candidate experience.

Provide in-person and remote IT support for hardware, software, and collaboration tools; manage device setup, inventory, accounts, and licenses; support office openings and moves; train users and improve IT processes; ensure security and efficient onboarding across global offices.

As a Talent Acquisition professional, you'll partner with hiring managers to recruit top talent, improve processes, and enhance candidate experiences in a growing startup environment.

The US Enterprise Sales Leader will recruit, manage, and develop a high-performing sales team to drive revenue growth and expand customer acquisition in the US market, working closely with cross-functional teams and ensuring operational excellence.

The AI Scientist will adapt large language models for human interaction, design annotation processes, and contribute to pre-training efforts.

Design, operate, and scale large-scale Linux/HPC infrastructure for AI workloads. Maintain clusters (bare metal and cloud), monitor health, troubleshoot incidents, improve performance and resource utilization, automate tasks (Python, Bash, Ansible, Terraform), and collaborate with HPC, platform, and research teams.

Lead executive workshops, create AI adoption roadmaps, design and deploy end-to-end AI solutions with Mistral models and platform, run pilots/proofs-of-value, measure KPIs and ROI, and drive long-term customer success while coordinating cross-functional teams and supporting on-site deployments.

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 Applied AI Engineer will onboard customers, guide on product integration, deploy AI solutions, and collaborate with various teams to enhance product capabilities and address client needs.

As a Technical Support Expert, you'll manage complex customer issues, escalate support tickets, maintain a knowledge base, and enhance customer interaction while ensuring a positive and efficient experience for users.

As a Research Engineer in Machine Learning, you'll optimize large-scale ML systems, integrate research with production, and conduct experiments on deep-learning techniques, all while collaborating closely with Research Scientists.

Manage daily HR operations, employee onboarding, payroll processing, and compliance. Drive HR projects, improve efficiency, and align HR strategies with business goals.