Mistral AI

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across modalities, applying them to diverse use cases, and delivering high-impact AI solutions. Responsibilities include pre-training, post-training, deployment, data generation/curation, developing tools for training/evaluation/deployment, and working with agents and RAG pipelines. The role also involves managing research projects and client communications.

Research Engineer at Mistral AI focused on building and optimizing large-scale learning systems for open-weight models. The role involves working with Research Scientists to enhance training frameworks, data pipelines, and cluster tooling, or to integrate cutting-edge research into repeatable, scalable code within research squads (Alignment, Pre-training, Multimodal, Safety). Responsibilities include accelerating researchers, interfacing research with production, conducting large-scale experiments, designing/implementing ML algorithms, and delivering prototypes for production.

Research Scientist at Mistral AI focused on pushing the frontier of LLMs, working across use cases and modalities, building training/evaluation infrastructure, and shipping AI systems. Requires strong software engineering and AI framework experience.

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.

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 of AI models at scale, and collaborating to ship 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.

Technical Lead, Applied AI role at Mistral AI, focusing on driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. The 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, mentoring engineers, leading pre-sales technical discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires 7-8+ years of AI/ML experience, with 2+ years in a technical leadership role, deep expertise in LLM fine-tuning, RAG, and agentic systems, and strong software engineering skills.

AI Scientist role at Mistral AI focusing on research and development of novel methods for large language models across various use cases and modalities. The role involves building tooling and infrastructure for training, evaluation, and analysis, and collaborating to ship AI systems with real-world impact. Requires strong software engineering skills, experience with AI frameworks or distributed systems, and high engineering competence for production readiness. Ideal candidates have experience training large transformer models, navigating the MLOps stack, and 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.

Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across modalities like text, image, and speech, applying them 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 deployment, and collaborating on agent and RAG pipelines. The role also involves managing research projects and client communications.

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. Key responsibilities include hands-on coding, leading technical teams, pre-sales discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires 7-8+ years of experience in AI/ML, with 2+ years in a technical leadership role, deep expertise in LLM fine-tuning, RAG, and agentic systems, and strong Python/PyTorch skills.

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.

Applied AI Engineer at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and production integration. The role involves working on GenAI applications, deploying use cases with business impact, collaborating with researchers and engineers on complex customer projects, and contributing to open-source codebases for inference and fine-tuning. Responsibilities also include pre-sales technical guidance and gathering customer feedback for product improvement.

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.

Applied AI Engineer at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and ensuring production integration. Works on GenAI applications, deploys use cases with business impact, collaborates with researchers and engineers on complex customer projects, and participates in pre-sales calls. Requires experience in fine-tuning LLMs, RAG, agentic use cases, and deploying LLM/NLP applications.

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.

Applied AI Engineer at Mistral AI focused on customer adoption of AI products and APIs. Responsibilities include onboarding, guidance on prompting, evaluation, fine-tuning, production integration, and deploying GenAI applications. Collaborates with researchers and engineers on complex customer projects, including fine-tuning and LLM applications. Involved in pre-sales to understand client needs and provide technical guidance. Contributes to open-source codebases for inference and fine-tuning. Works with state-of-the-art GenAI applications and deploys them into production with significant business impact.

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.

Applied AI Engineer at Mistral AI focused on deploying GenAI applications for enterprise customers, involving fine-tuning, RAG, and agentic use cases. Collaborates with researchers and product teams, and assists in pre-sales.

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.

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 technical discussions, designing and implementing AI systems (fine-tuning, RAG, agentic workflows), and driving innovation. Requires a PhD/Master's, 7-8+ years of AI/ML experience with 2+ years in a technical leadership role, and expertise in fine-tuning LLMs, RAG, and agentic systems.

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.

Applied AI Engineer role at Mistral AI focused on customer adoption of AI products, including onboarding, guidance on prompting, evaluation, fine-tuning, and production integration. The role involves working on GenAI applications, deploying use cases with business impact, and collaborating with researchers and product engineers on complex customer projects. It also includes pre-sales activities and providing feedback to product and science teams.

Research Engineer focused on building and optimizing large-scale learning systems for open-weight models, working with Research Scientists to enhance training frameworks, data pipelines, and cluster tooling, or to integrate cutting-edge research into production-grade components. The role involves conducting experiments on deep learning techniques, designing and implementing ML algorithms, and delivering prototypes for products like Le Chat and enterprise APIs.

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.

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.

Applied AI Engineer at Mistral AI focused on customer onboarding, deployment of GenAI applications, and collaboration with researchers and product teams. Responsibilities include guiding customers on prompting, evaluation, fine-tuning, and ensuring production integration. The role involves working on state-of-the-art GenAI applications, deploying use cases with business impact, and contributing to open-source codebases for inference and fine-tuning. Pre-sales involvement and feedback to product/science teams are also key.

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.

Mistral AI is seeking an Applied AI Engineer to facilitate customer adoption of its products, collaborate on complex technical challenges, and deploy GenAI applications. The role involves end-to-end project execution, bridging AI research with enterprise applications, and contributing to open-source codebases. Responsibilities include deploying production use cases, working on state-of-the-art GenAI applications, fine-tuning LLMs, RAG, agentic use cases, and pre-sales technical guidance.

Applied AI Engineer role focused on integrating Mistral AI's models into customer products, developing full-stack applications, and collaborating with customers from pre-sale to post-implementation. Requires strong software engineering skills and experience with LLM/GenAI models.

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.

Drives adoption and deployment of Mistral's AI solutions, working with customers from strategic vision to production implementation. Partners with senior executives to design AI roadmaps, collaborates with the Applied AI team to deliver solutions in production, and ensures seamless transitions from presales to postsales. Focuses on customer success and bridging the gap between strategy and execution.

AI Deployment Strategist role focused on driving adoption and scaling of GenAI solutions for enterprise clients. Responsibilities include pre-sales activities, product implementation, integration, deployment, and customer success, acting as a liaison between clients and Mistral's product/science teams. Requires customer-facing experience, Python/Javascript prototyping, and foundational AI/ML knowledge.

This role focuses on driving the adoption and deployment of Mistral's AI solutions for enterprise customers, acting as a bridge between business strategy, AI innovation, and production implementation. The strategist will lead workshops, co-create AI roadmaps, design end-to-end AI solutions, and ensure value realization, collaborating closely with the Applied AI team and customer executives.

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.