Mistral AI

Mistral AI is seeking an AI Scientist specializing in Audio to research and develop novel methods for large language models, focusing on speech input/output. The role involves building tooling for training and evaluation, working across modalities and use cases, and shipping AI systems with real-world impact. Requires expertise in speech methodologies, strong software engineering skills, and experience with AI frameworks or distributed systems.

Mistral AI is seeking an AI Scientist to research and develop novel methods for large language models, working across use cases and modalities. The role involves building tooling for training, evaluation, and analysis at scale, and shipping AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production deployment. Ideal candidates have experience training large transformer models and navigating the MLOps stack, with a strong publication record.

This role focuses on defining and measuring LLM behavior, designing and implementing evaluation pipelines, data guidelines, and synthetic testing environments to identify and fix edge cases. It involves interacting with models, gathering feedback, and collaborating with AI Scientists to improve reasoning, audio, alignment, tools, and frontier bets.

AI Engineer focused on improving AI-powered features within product teams (search, chat, documents, audio) by owning AI quality end-to-end through evaluation, prompt/orchestration design, and experimentation. The role involves defining metrics, running A/B tests, setting up LLM observability, operating model releases, and improving core behaviors. Requires strong Python/TypeScript, production LLM experience, and a product mindset.

Technical Lead, Applied AI role at Mistral AI focused on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams, acting as a primary technical point of contact, and bridging the gap between AI research and real-world applications. Responsibilities include hands-on coding, leading technical teams, pre-sales discussions, designing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation.

Mistral AI is seeking an Applied AI Engineer to join their customer-facing technical organization. The role involves deploying AI solutions for enterprise clients, working on GenAI applications, fine-tuning LLMs, and collaborating with research and product teams. Responsibilities include pre-sales technical guidance, understanding client needs, and contributing to open-source codebases.

Mistral AI is looking for an Applied AI Engineer to help customers adopt their AI products, address complex technical challenges, and build enterprise use cases. The role involves working with customers from pre-sale to post-implementation, managing customer relations, and externalizing research into production. Responsibilities include deploying production use cases, working on GenAI applications, collaborating with researchers and engineers on customer projects (fine-tuning, LLM applications, open-source contributions), participating in pre-sales calls, and providing feedback to product and science teams.

Applied AI Engineer role focused on building and delivering full-stack AI solutions for enterprise customers within short timelines (4-8 weeks). The role involves customer engagement, technical leadership, end-to-end system ownership, and contributing to product innovation by testing new capabilities and translating real-world usage into product direction. Requires strong software engineering fundamentals, experience with LLMs, RAG, and agentic systems, and a builder mindset.

Applied AI Engineer for critical and sovereign institutions, focusing on deploying and developing GenAI applications, fine-tuning LLMs, and contributing to open-source codebases. Requires strong software engineering skills and experience with advanced RAG and agentic systems.

Mistral AI is seeking Discovery Scientists to identify and solve key problems in STEM fields (Physics, Chemistry, Material Science) using cutting-edge AI/ML capabilities. The role involves end-to-end research ownership, developing and applying AI/ML solutions, and collaborating with multidisciplinary teams to accelerate scientific discovery and simulations. The ideal candidate has domain expertise, a track record in AI/ML, and broad coding experience in scientific computing and ML frameworks.

Machine Learning Engineer focused on open-sourcing state-of-the-art models and maintaining Mistral's public libraries, including tooling and services for both internal research and external open-source contributions. The role involves implementing and optimizing libraries for performance and accuracy, ensuring production readiness, and collaborating with the open-source community.

This role focuses on designing and implementing evaluation systems and infrastructure for LLMs, specifically for enterprise clients. The goal is to measure model performance across customer-specific use cases, moving beyond general benchmarks to domain-specific, risk-aware evaluations. The role involves building scalable pipelines, developing new methodologies, and tailoring evaluations to customer needs, bridging research, engineering, and customer-facing teams.

Product Manager to define and execute the strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. This role involves translating cutting-edge research into enterprise-ready capabilities, focusing on model fine-tuning, reinforcement learning, and post-training workflows.

Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across text, image, and speech, applying novel methods to diverse use cases, and delivering high-impact AI solutions. Responsibilities include running pre-training, post-training, and deployment on large GPU clusters, generating and curating data, developing tools for training and evaluation, collaborating on agent and RAG pipelines, and managing client research projects.

Research Engineer focused on deploying and optimizing AI models for real-world robotics, including mobile manipulation and training data pipelines. Requires strong software engineering skills for production systems and experience with robotic hardware and ML/CV applications.

Research and develop novel AI methods for general-purpose mobile manipulation robots, build tooling and infrastructure for training, evaluation, and analysis of AI models at scale, and work cross-functionally to deploy AI systems on real robot platforms. Requires hands-on experience building/deploying AI on physical robots or developing large vision-language models, strong software engineering skills, and AI framework proficiency.

This is a graduate program role focused on Applied AI & Engineering at Mistral AI. The role involves working on state-of-the-art GenAI applications, collaborating with research and engineering teams to develop and deploy AI models, including fine-tuning, RAG, and Agentic workflows. The program offers rotations, mentorship, and aims to build expertise in applied AI and foundational models, with a focus on shipping impactful AI projects.

Mistral AI is seeking a GPU Programming Expert to optimize the serving and training of large language models at high speed. This role involves writing low-level CUDA kernels and distributed systems code to maximize GPU utilization, rethinking model architectures for efficient inference, and integrating this low-level code into an MLOps framework. The ideal candidate has deep expertise in GPU programming, distributed computing, and a strong understanding of generative AI, with interest in fine-tuning and model applications.

Fullstack Software Engineer role focused on deploying Mistral AI products for customers in critical, sovereign, and highly regulated environments. This involves designing, building, and deploying full-stack AI applications, integrating models, and working directly with clients to ensure solutions meet high standards of security, reliability, and compliance.

Research Software Engineer focused on designing and hardening the codebase, tools, and distributed services for training and shipping frontier-scale models. The role involves building and maintaining shared dev-tools, evaluation & data pipelines, training frameworks, cluster tooling, and CI/CD, with a focus on robust internal tooling and exposing clean APIs for research-to-product integration.

This role is for individuals who have founded or led companies and want to deploy Mistral AI's advanced models within enterprise clients. It involves owning client portfolios, identifying use cases, structuring deployments, and bridging the gap between model capabilities and client needs. The role has two tracks: Deployment Strategist (business focus) and Applied AI Engineer (technical focus on integration, fine-tuning, RAG/agents, and production deployment). The core function is to make Mistral's models indispensable for enterprise clients.

Applied Scientist/Research Engineer at Mistral AI focused on building and deploying AI Physics Models for industrial customers, integrating LLMs with engineering simulation workflows. The role involves curating datasets, training and evaluating models, and delivering production-grade AI solutions.

Product Manager for Mistral's GenAI-native coding assistant (Mistral Vibe), focusing on defining product strategy, GTM, and roadmap for enterprise and individual developers. Requires deep product leadership, business acumen, developer product expertise, and understanding of GenAI models.

Applied AI Engineering Intern role focused on deploying GenAI applications for customers, collaborating with researchers and engineers, and improving product capabilities based on customer feedback. Requires Python, ML algorithms, NLP, and basic MLOps understanding.

Mistral AI is seeking a Research Engineer for their Data Infrastructure team to architect and scale massive distributed compute and storage systems for frontier model training and fine-tuning. The role involves building the backbone of their AI ecosystem, managing multi-cluster orchestration, designing future-proof storage solutions, and ensuring operational excellence for large-scale data platforms.

Product Manager for Mistral AI Studio, an enterprise platform for building, evaluating, and operating AI systems at scale. The role involves defining product strategy, driving end-to-end development, and collaborating with cross-functional teams to enable enterprises to move from AI prototypes to production.

Applied AI Engineer role focused on customer adoption and integration of Mistral AI's models into client products. Involves full-stack development, use case development, and collaboration with research and product teams.

Technical Program Manager to build and drive the execution engine of Mistral AI's science organization. This role involves designing and operationalizing systems, workflows, and processes to translate research goals into measurable, coordinated execution, ensuring projects move from idea to impact with clarity and discipline. The role sits at the intersection of program management, technical operations, and research, partnering with scientists and engineers to bring structure and visibility to complex initiatives, streamline delivery, and manage GPU allocation.

Engineering Manager to lead product engineering teams, focusing on building scalable systems, bridging product and technology, and ensuring high-quality delivery of AI platform and products. The role requires hands-on technical leadership and people management.

Security Researcher focused on safeguarding agentic AI systems, cloud infrastructure, and foundational models by identifying and mitigating risks through offensive security techniques, red/purple teaming, and penetration testing. The role involves building offensive tooling and contributing to Mistral AI's security strategy.

Software Engineer focused on deploying and integrating AI products (models, APIs) across various infrastructure configurations, including cloud and on-premises. Responsibilities include ensuring fast and reliable product launches, building and extending deployment infrastructure, addressing AI safety on third-party platforms, and enhancing observability and monitoring for high availability and performance.

Seeking a Data Scientist to analyze user behavior, optimize AI product performance, and design data-driven features. This role involves defining key metrics, designing experiments, implementing end-to-end data science projects, and evaluating model performance in training and production. Requires proficiency in Python and SQL, strong statistical intuition, and experience with experimental design and machine learning algorithms.

Product Manager for Document Intelligence at Mistral AI, focusing on defining and executing the strategy for AI-driven productivity tools that integrate OCR, structured data extraction, and advanced processing for enterprise and prosumer users. The role involves setting product vision, conducting market research, driving end-to-end product development, and collaborating on go-to-market strategies.

Mistral AI is seeking a Data Quality Specialist to join their Human Data Annotation team. This hybrid role involves reviewing and auditing code annotations against rubrics to ensure data quality for AI model training and evaluation, and also building, maintaining, and troubleshooting internal tooling for annotators. The role requires strong analytical skills, attention to detail, proficiency in programming languages, and experience with code agents and developer environments.

This role focuses on driving the adoption and deployment of Mistral's AI solutions within the cybersecurity domain, working with customers from strategic vision to production implementation. The strategist will design AI roadmaps, collaborate with the Applied AI team on solution delivery, and ensure seamless transitions from presales to postsales, directly contributing to customer success.

Senior AI Deployment Strategist role at Mistral AI, focusing on bridging the gap between AI vision and execution for enterprise clients. The role involves strategic advisory, presales, and postsales activities, including C-suite engagement, AI solution design, deployment leadership, and driving adoption to achieve measurable business outcomes. Requires deep practical expertise in AI/ML concepts and a proven track record in customer-facing strategic roles.

Associate AI Deployment Strategist role at Mistral AI, focusing on supporting customer adoption and deployment of AI solutions. This early-career role involves assisting in AI roadmap design, solution integration, and ensuring customer success by bridging strategic vision with practical implementation. The role requires collaboration with internal teams and customers, prototyping, and executing pilot projects.

Mistral AI is seeking a Senior/Staff Applied AI Engineer focused on DevOps to help customers adopt and integrate their AI products. This role involves end-to-end project ownership, from understanding customer challenges to deploying and scaling AI solutions, including working with the low-level GPU stack and infrastructure. The engineer will collaborate with researchers and other engineers, contribute to open-source codebases for inference and fine-tuning, and participate in pre-sales calls.

This role focuses on driving the adoption and deployment of Mistral's AI solutions within enterprise clients. It involves strategic discovery, solution design, and overseeing the implementation of AI applications to achieve business outcomes. The strategist acts as a liaison between clients and internal teams, influencing product roadmaps and ensuring customer success.

This role focuses on driving the adoption and deployment of Mistral's AI solutions for enterprise customers. The AI Deployment Strategist will work with senior executives to design AI roadmaps, collaborate with the Applied AI team on production solutions, and ensure seamless transitions from presales to postsales. The role involves architecting end-to-end AI solutions, owning pilot projects, and acting as a trusted advisor to customers to maximize value realization. It requires a blend of business strategy, AI innovation, and hands-on deployment experience, bridging the gap between strategy and execution.

Technical Program Manager for Mistral AI's Applied Science team, focusing on co-training projects from pre-training to post-training. The role involves managing the Applied Science product roadmap, tracking research, ensuring operational health of product verticals, and driving customer onboarding and technical integration. Requires a blend of technical proficiency, project management, and cross-functional leadership.

This role focuses on technical marketing and solutions engineering for AI products, specifically LLMs and agent-based architectures. The Technical Marketing Engineer will bridge the gap between technical teams and go-to-market functions, translating complex AI/ML concepts into business value, creating technical content, enabling sales teams, and supporting product launches. The role requires experience in technical marketing or solutions engineering, familiarity with AI systems, and strong communication skills to convey technical capabilities to both technical and non-technical audiences.

This role is responsible for defining and executing the global partner marketing strategy for an AI company, focusing on ISVs, SIs, and cloud alliances to drive joint go-to-market success and revenue impact. The role involves building and executing co-marketing programs, developing scalable frameworks, driving joint customer storytelling, and tracking performance.

Mistral AI is seeking experienced Site Reliability Engineers (SREs) to ensure the reliability, scalability, and performance of their platform and customer-facing applications. The role involves balancing daily operations with long-term infrastructure improvements, collaborating with software engineers and AI/ML researchers, and automating deployment and orchestration. Key responsibilities include designing and maintaining scalable infrastructures for web services and ML workloads, ensuring high availability of platform and training environments, implementing monitoring and alerting systems, and developing workflows for CI/CD, containerization, and orchestration.

Software Engineer to design, build, and lead core systems for enterprise agents, focusing on integrations, connectors, and dashboards to streamline internal workflows and enable self-service tooling. This role involves technical leadership, stakeholder management, and shipping end-to-end web applications.

This role focuses on creating and auditing human data annotations to ensure the quality and efficiency of data used for training and evaluating AI models. It involves collaborating with technical teams to refine annotation processes and guidelines.

Systems Engineer/Administrator role focused on designing, operating, and scaling the HPC infrastructure for AI model training and research. Responsibilities include Linux systems administration, automation, performance tuning, and supporting production/research workloads.

Seeking early-career software engineers to join Mistral AI's software engineering teams. This role will focus on building and improving core systems for products like AI Studio and Applications, as well as supporting operations and user/developer interaction with the AI platform. Responsibilities include backend and frontend development, system architecture, infrastructure, code quality, and cross-functional collaboration. The role involves tackling real-world engineering problems and integrating new AI capabilities.