Mistral

Role Description - In a context of hyper growth, we look for versatile recruiters who have experience hiring across multiple functions: GTM (Sales, Solutions Architect, Pre-sales) as well as corporate functions (ideally Engineering as a minor). - Length: minimum 3 months. - Ideally in Paris but we are open to remote. What you will do: - Manage full-cycle recruiting process ensuring a smooth and bespoke candidate experience. - Develop and own search strategies and deliver research against those strategies for searches across various business/Corporate and potentially technical functions (GTM, Partnership, Sales, Corporate, Engineering). - Deeply understand hiring needs, partner closely with hiring managers and stakeholders to develop sourcing and hiring strategies. - Identify, attract, and ensure high-touch candidate experience to continuously deliver high-quality candidates and meet hiring goals. - Dive deep into data and root cause issues. - Proactively identify and solve problems. - Help improve our process, documentation, tooling and talent market intelligence. - Identify candidate closing strategies and proactively coach and inform candidates through the entire recruiting process. - Contribute to continuous improvement and innovation in the efficiency and effectiveness of our systems, services, and processes. Qualifications - Autonomous and self-starter who is result-oriented, resourceful, innovative, intellectually curious, and who takes initiative and risks. - Experience in complex recruiting and autonomous hiring in outbound contexts. - Experience working to recruit in highly competitive talent markets. - 4+ years of experience recruitment for fast pace, demanding environment. - No ego and highly committed to deliver. - Able and keen to jump from strategic topics to very hands-on work. - Ideally, you have a track record of recruiting both in business & tech roles. - Ideally, you have experience hiring for Enterprise software companies. - Open learning mindset and fast learner, demonstrated capacity to quickly grasp new complex subject matter, and understanding of new markets, areas, roles, and business initiatives. - Capability, credibility, and consultative skills to influence senior colleagues and stakeholders without authority. - Professional brand of personal accountability, drive, work ethics. - Fluent in English. - Experience recruiting internationally. - Ideally, proficiency with Lever. - Strong written and verbal communication. - Target driven, detail oriented and approachable with the ability to prioritize and work well in an environment with competing demands. Benefits - Comprehensive benefits package designed to support your well-being, growth, and work-life balance. - Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

Role Description As a Systems Engineer / System Administrator in the Compute team, you will help design, operate, and scale the infrastructure powering Mistral’s AI platforms. This role exists to ensure our large-scale Linux environments, HPC clusters, and cloud systems run reliably, enabling cutting-edge research and production workloads. You’ll collaborate closely with infrastructure, HPC, and research teams to bridge the gap between users and systems, solving complex problems in a rapidly scaling environment. Your work will directly impact the performance, reliability, and scalability of systems handling petabyte-scale data and thousands of nodes. What You Will Do - Operate and maintain large-scale Linux environments, including bare metal, clusters, and cloud infrastructure. - Monitor system health, troubleshoot incidents, and ensure high availability for production and research workloads. - Scale clusters toward hundreds to thousands of nodes while improving performance and resource utilization. - Automate operational tasks using tools like Python, Bash, Ansible, or Terraform to streamline deployment and system lifecycle management. - Contribute to system design and architecture decisions to enhance reliability and scalability. - Work with job schedulers (e.g., Slurm) to optimize workload management. - Collaborate with HPC, infrastructure, and research teams to align systems with user needs. - Act as a bridge between technical teams and end-users to resolve cross-functional challenges. Qualifications - Strong Linux systems administration experience in large-scale environments (HPC clusters or cloud infrastructure). - Experience with job schedulers (e.g., Slurm) and troubleshooting across systems, hardware, and networks. - Familiarity with containers/orchestration (e.g., Kubernetes), storage systems (e.g., Ceph, Lustre, NFS), or networking fundamentals (Ethernet, InfiniBand). - Proficiency with Infrastructure as Code or automation tooling (e.g., Ansible, Terraform). - Exposure to GPU or AI/ML workloads is a plus. - Pragmatic problem-solving skills with the ability to operate in fast-scaling environments. - Comfortable working across multiple domains with a "Swiss army knife" mindset. - Low-ego, collaborative, and hands-on approach to work. Benefits - Comprehensive benefits package designed to support your well-being, growth, and work-life balance. - Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

Role Description As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. What You Will Do - Research and develop novel methods to advance the capabilities of LLMs. - Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale. - Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact. - Explore and innovate across use cases such as reasoning, code generation, and agent-based systems. - Work with multimodal data, including text, image, and speech, to expand model capabilities. - Optimise distributed systems to improve the efficiency and scalability of model training. - Contribute to the open-source community by releasing frontier models for public use. Qualifications - A track record of contributing to relevant scientific domains, such as publications or open-source projects. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - Proficiency in at least one programming language, such as Python, Rust, Go, or Java. - Ability to design complex software systems and transition them into production environments. - Experience with training large transformer models in a distributed setting. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team. - Strong engineering competence, with a focus on building scalable and reliable systems. Benefits - Comprehensive benefits package designed to support your well-being, growth, and work-life balance. - Healthcare coverage. - Parental leave. - Retirement plans. - Relocation support. - Wellness programs. - Meal and transportation allowances. - Other location-specific perks.