Applied Scientist / Research Engineer - Cybersecurity - EMEA

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. You’ll create agents that detect, diagnose, and help resolve incidents—grounded in real-world security and SRE workflows—and evaluate them in simulated environments before hardening for production.

You’ll work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety.

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.

• Develop and pre-/post-train domain-specialized foundation models for observability, security, site reliability engineering, and code repair

• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.

• Manage research projects and communications with client research teams.

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.

• You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).

• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.

• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.

• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.

• Low-ego, collaborative and eager to learn.

• You have a track record of success through personal projects, professional projects or in academia.

• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.

• Have contributed to a large codebase used by many (open source or in the industry).

• Have a track record of publications in top academic journals or conferences.

• Have publications in top ML/security venues and/or contributions to open-source security or observability tools.

• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.

We have local offices in Paris, London, Marseille, Singapore and Palo Alto.

💰 Competitive cash salary and equity

🥕 Food : Daily lunch vouchers

🥎 Sport : Monthly contribution to a Gympass subscription 

🚴 Transportation : Monthly contribution to a mobility pass

🧑‍⚕️ Health : Full health insurance for you and your family

🍼 Parental : Generous parental leave policy

🌎 Visa sponsorship

💰 Competitive cash salary and equity

🚑 Insurance

🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport

🥎 Sport: 90GBP/month reimbursement for gym membership

🥕 Meal voucher: £200 monthly allowance for its meals

💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)