Mistral AI

Research Scientist

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
• Design and evaluate quantization, pruning, distillation, and sparsity methods for LLMs and multimodal models.
• Build deployment stacks, optimize kernels and memory layouts.
• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.
• Develop tooling for calibration data generation, mixed‑precision training, quant‑aware finetuning, structured/unstructured sparsity, and compilation passes.
• Manage research projects and communications with client research teams.

Applied Scientist – Edge Devices, Quantization

• 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.
• Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
• Manage research projects and communications with client research teams.

Applied Scientist, Research Engineer – Multimodal

• 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.
• Pre‑train and fine‑tune time series foundational models for downstream applications in various industries
• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
• Manage research projects and communications with client research teams.

Applied Scientist / Research Engineer – Time Series

Security Engineer

• 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.

Applied Scientist, Research Engineer – Cybersecurity

Robotics

• Research and develop novel AI methods for general-purpose mobile manipulation robots
• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
• Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms

AI Scientist – Robotics

Artificial Intelligence

• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.
• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.
• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives.
• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.
• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment.
• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.
• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.
• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships.
• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.
• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.
• Travel (~30-60%) to foster deep client relationships and support on-site deployment.

AI Deployment Strategist

AI Engineer

• Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
• - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
• - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
• - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
• - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
• - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.

Applied AI, Technical Lead, Forward Deployed AI Engineer

• Design, build, and deploy AI-powered applications and automation systems
• Manage daily relations with multiple stakeholders globally
• Design and implement automated workflows and internal tools
• Build and integrate AI models into full-stack applications
• Work closely with AI researchers and product teams to translate user requirements into technical solutions
• Contribute to open-source projects and internal tooling to enhance the AI platform

Applied AI, Prototyping & Automations Engineer

Technical Program Manager

• Collaborate closely with the coding research team to define campaign requirements, including task guidelines, timeline, budget, and success metrics
• Establish and maintain strong relationships with vendors and contractor teams to generate high quality data, spanning phases across sourcing, contracts, onboarding / training, performance monitoring, etc.
• Run end-to-end annotation campaigns, from scoping, training and calibration, to tracking progress to completion
• Develop and drive both manual and automated data quality audits and product evaluations, producing synthesized feedback and recommendations for key stakeholders, with a strong focus on coding use cases

Technical Program Manager, Human Data Annotation

DevOps Engineer

• Lead Site Reliability Engineer responsible for driving the infrastructure team and reporting to the Head of Engineering.
• Empower and supervise the SRE team: remove obstacles, hire, onboard, and elevate team performance; project planning and task allocation.
• Collaborate with stakeholders across engineering, science, and product management.
• Design, build, and maintain scalable, highly available, fault-tolerant infrastructures for web services and ML workloads.
• Ensure platform, inference, and model training environments are highly available and reproducible across HPC clusters.
• Operate production systems: troubleshooting, on-call responses, user admin, data extraction, infrastructure scaling; perform root cause analyses.
• Implement and improve monitoring, alerting, and incident response systems to minimize downtime.
• Implement and maintain CI/CD, containerization, orchestration, monitoring, logging and alerting workflows for client-facing APIs and large training runs.
• Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform.
• Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments and build a cloud-agnostic platform abstraction layer.
• Design and develop workflows, tooling, APIs, dashboards and automation to improve reliability and performance.
• Collaborate with security to ensure best practices and compliance; document processes and contribute to open-source and publications.

Site Reliability Engineer, Technical Lead

Recruitment

• Recruit for specific positions and lead several recruiters to ensure global recruiting efficiency
• Report to the Head of Talent Acquisition
• Partner with tech & business hiring managers to find talent for Mistral
• Identify, attract, and ensure high-touch candidate experience to deliver high-quality candidates and meet hiring goals
• Guide candidates through the hiring process and introduce them to working at Mistral
• Cascade recruiting strategy among the recruiting team
• Dive deep into data and root cause issues to identify and solve recruiting problems
• Help each recruiter to thrive on their scope and build a data-driven culture
• Contribute to continuous improvement and innovation of processes and recruitment stack
• Push for efficiency initiatives such as documentation and automation
• Work on building a recruitment culture in the company and represent Mistral AI on the talent market

Talent Acquisition Lead

Operations

• Ensure our Paris offices is up and running
• Help EMEA colleagues in their office maintenance
• Act as the go-to-person for all questions related to the office
• Develop our culture by organizing activities, meetings, and other community events
• Manage suppliers: food provider, maintenance, cleaning, access
• Welcome visitors and handle mails and deliveries
• Serve as the onsite point of contact for maintenance visits, shipping, mailing, deliveries, and inventory management
• Report directly to the Office Manager Lead

Workplace Ops

General Counsel

• Collaborate with cross-functional teams in close partnership with technical and product teams to ensure legal and regulatory compliance in the deployment of AI technologies, with a specific focus on consumer law (DSA, online platforms, etc.).
• Stay updated on the latest AI-related legal and regulatory developments, and provide practical guidance to the organization on potential risks, solutions and opportunities.
• Provide training and support to the business on legal and compliance matters related to AI.
• Help drafting terms and other contractual materials, or negotiate contracts with upstream partners or suppliers, including but not limited to AI-related service agreements.
• Support team on other legal topics as needed.

Product Counsel

Product Manager

• Conduct market research to understand Azure ecosystem trends, cloud buyer personas, and competitive dynamics.
• Engage with customers to gather feedback and validate product positioning, integrations, and features.
• Define and champion the vision and roadmap for Mistral’s Azure 1P product offering and collaborate with cross-functional teams.
• Identify opportunities to innovate through Azure-native capabilities (e.g., Azure Monitor, Azure AD, ARM, Bicep, Foundry).
• Work closely with Microsoft teams and Mistral engineering to define, prioritize, and build product integrations into the Azure Foundry ecosystem.
• Ensure technical architecture supports native Azure deployment, security standards, scalability, and co-sell eligibility.
• Co-create and execute a joint GTM strategy with Microsoft’s field and partner marketing teams to accelerate co-sell motion.
• Define value propositions, key differentiators, messaging, and lead packaging and pricing discussions for Azure Foundry offers.
• Drive high-quality product execution, deliver products on time and within budget, and architect the product around Azure services.
• Partner with UX and design teams to create seamless experiences and incorporate continuous feedback from previews, beta testing, and telemetry.
• Establish and track KPIs (revenue, active users, usage, retention, user satisfaction, CAC, profitability) and optimize product performance.
• Build and maintain relationships with internal stakeholders, Microsoft, and customers, and serve as a product evangelist.

Product Manager, Cloud Integrations

• Develop SOTA models across different modalities (text, image, speech) and apply them across diverse use cases and domains
• Run pre-training, post-training and deploy state-of-the-art models on clusters with thousands of GPUs
• Generate and curate data for pre-training and post-training and work on model evaluations to ensure performance exceeds expectations
• Develop tools and frameworks to facilitate data generation, model training, evaluation and deployment
• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines
• Manage research projects and communications with client research teams
• Deliver high-impact AI solutions by working with external and internal science, engineering, and product teams

Applied Scientist/Research Engineer

Backend Engineer

• Build and develop Mistral AI's core platform (API & DX Console, AI Tooling, Connectors, Observability, User Admin & Billing, Partnerships).
• Act as a facilitator and orchestrator, removing obstacles and empowering the team to deliver impactful solutions.
• Serve as the key liaison with Product, translating vision into technical reality with attention to UI/UX.
• Ensure applications are high-performing, stable, and responsive; continuously improve performance and user satisfaction.
• Uphold code quality through rigorous reviews, unit testing, and automation.
• Support hiring, onboarding, career growth and deliver thought leadership to elevate the team.
• Participate end-to-end in the software development lifecycle from conceptualization to deployment.
• Split time between hands-on coding and strategic responsibilities (project planning, stakeholder collaboration, roadmap and deadlines).

Software Engineer, Technical Lead  Product, Python

AI Research Scientist

• Research and develop novel methods to push the frontier of large language models
• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)
• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact

AI Scientist – Audio

Account Executive

• Identify, engage, and develop strategic accounts through outbound efforts and qualified inbound leads.
• Drive tailored conversations with accounts where upsell or expansion opportunities exist.
• Build and maintain a healthy pipeline of opportunities within assigned territories.
• Guide customers through evaluations or proof-of-concept phases, ensuring a clear demonstration of value.
• Translate successful pilots into long-term, revenue-generating partnerships.
• Own the end-to-end sales process for assigned accounts, including prospecting, solution presentation, and closing.
• Coordinate across product, engineering, and legal teams to align on deal structure and execution.
• Lead negotiations with customers, ensuring both customer satisfaction and alignment with Mistral’s objectives.
• Build strong, lasting relationships with decision-makers and influencers, including heads of innovation/AI and business unit leaders.
• Understand account-specific challenges and tailor Mistral’s solutions to their needs.
• Develop a solid understanding of Mistral’s products to confidently lead technical conversations.
• Partner with customer engineering and implementation teams to resolve questions and ensure smooth onboarding.
• Share customer insights with internal teams to influence product roadmap and priorities.
• Support marketing and product initiatives with account-level feedback and success stories.

Strategic Account Executive

Full-stack Engineer

• Design and build internal systems powering company growth
• Create integrations, dashboards, and workflows connecting daily tools
• Meet with key stakeholders (C-levels and managers) to gather requirements and translate into software solutions
• Build connectors across internal systems (CRM, billing, HRIS, planning tools)
• Develop dashboards and self-service tools for internal teams
• Fullstack development: build web applications end-to-end (backend + frontend)
• Prioritize stakeholder needs and deliver impactful solutions
• Lay foundation for Enterprise Systems function and prepare for scale

Software Engineer, Enterprise Systems

• Manage the entire sales process for start-ups, scale-ups, and Mid Market accounts across North America, from pipeline generation through closing and expansion
• Effectively and consistently build pipeline to achieve goals using multi-channel tactics and account plans
• Identify, qualify, and disqualify sales opportunities and develop strategic sales plans to convert opportunities into long-term customers
• Collaborate closely with Solutions, Applied AI Engineering, Product, Finance, Legal, and Marketing teams to meet customer requirements and ensure successful deployments
• Work with Solutions and Applied AI Engineering teams to identify up-sell and cross-sell opportunities and execute account expansion strategies
• Demonstrate a deep understanding of Mistral's technical solutions and articulate value propositions to prospects and customers
• Establish technical credibility and provide informed recommendations aligned with customers' business outcomes
• Cultivate and maintain strong relationships with C-level executives and key decision makers
• Prepare clear, concise, persuasive customer communications and align stakeholder interests to drive deals to close

Account Executive, Commercial

Site Reliability Engineer

• Role: DevSecOps Engineer to own security across our product development lifecycle and enforce security-conscious workflows
• Location: Paris or London (hybrid) with on-site base for collaboration
• Reporting line: SRE Lead
• Security Strategy & Governance: Evaluate posture, roadmap, KPIs for security performance
• Security Automation & Tooling: Build high-performance security test suites; integrate SAST, DAST, SCA
• Full-Lifecycle Security Ownership: Automate security validation; IaC security guards; Kubernetes RBAC; secrets management
• Team Collaboration & Advocacy: Partner with dev and ops teams; lead training; security-first mindset
• Representative projects: Improve CI/CD; code analysis tools; vulnerability analysis; optimize cloud registry
• About you: 7+ years of experience; strong proficiency in scripting and SRE; multi-cloud; regulatory compliance
• Hiring Process: Intro Call; Tech Culture Interview; Technical Rounds; Culture-fit; References