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Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Engineer on the Latency & Throughput team, you will push the frontier of LLM inference by researching and prototyping techniques that reduce latency and increase throughput — from speculative decoding and quantization to KV compression and new attention variants. The team sits at the intersection of research and production: you will take ideas from recent literature, form hypotheses, run experiments, and ship the techniques that prove out into our serving stack. This role sits between our inference engineers, who own the production serving stack, and our research scientists, who focus on paper-level contributions. You will be more science-focused than a pure engineer: you are expected to generate new ideas, keep up with the state of the art, and implement proof-of-concepts that bridge the gap between academic results and production impact. Some techniques you explore will be lossy or require integration into training — retraining models, tuning architectures, or training auxiliary models to improve inference. You will work closely with the Inference Foundation and Kernels teams, who turn your validated techniques into production recipes, and with pretraining and RL teams when your work touches model training. Success is measured by demonstrated latency or throughput gains, first at small scale, then adopted in production. What You Will Do - Research and prototype inference techniques — speculative decoding, quantization, KV compression, watermarking, and new model architectures — by reading recent literature and forming testable hypotheses. - Design and run experiments to validate or refute ideas, iterating quickly on small-scale setups before proposing production integration. Demonstrate clear latency or throughput gains without unacceptable quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training, retraining, or training auxiliary models to improve inference. Build the right tooling and validation platforms to facilitate AI-driven inference research. What We're Looking For - A strong ML background with solid knowledge of LLM training techniques — architecture, tokenization, fine-tuning, and evaluation. - Hands-on experience with Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. - Research experience of some form: a thesis, publications, a dedicated research project, or efficiency-oriented work in a lab or industry research setting. A PhD is not required, but we are looking for genuine research depth. - A track record of conducting experiments: forming hypotheses, designing controlled comparisons, and drawing clear conclusions from results. - Familiarity with the state of the art in LLM inference — you know what has been tried, what works, and where the open problems are. - Self-starter, low-ego, and collaborative. You are comfortable with ambiguity, negative results, and are eager to take matters into your own hands. - Inference or serving experience is a plus, not a requirement. Prior work with vLLM, production LLM deployments, or serving systems will help you ramp up faster. Location and Remote This role is based in our Paris or London offices (hybrid). We will prioritize candidates who reside in the Paris area or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. For senior profiles, we will also consider remote candidates based in France. In that case, we ask all new hires to visit our Paris office: - For the first week of their onboarding (accommodation and travel covered) - Then at least 3 days per month WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - 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. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This is a chance to build the frontier LLM evals that shape the next generations of flagship models. Could a model design a computer chip, or find the backdoor an attacker left in a network? Public benchmarks can't tell us, as they're generally not a good measure of real work. As an Evaluation Engineer, you'll own evals from start to finish. You'll run workshops with customers, industry experts and our customer-facing teams to understand their most important industry use cases (e.g., an engineer updating a part in CAD software), and help decide which are worth building first. You'll also look beyond today's use cases and design moonshot evals for work no model can do yet, so Mistral gets there first. Then you'll turn each one into a benchmark, often one where an agent has to do the work inside real software. You'll source the data, decide how to score it, and run it on every new Mistral model and on competitor models. When our models fall short, you'll work with the post-training teams to close the gap. When they catch up, you'll make the eval harder. You'll write up and present your results so senior leaders can act on them. They also give our go-to-market teams evidence of where Mistral leads. You'll learn new fields quickly. One month you might be learning how chip designers check their work, and the next how a bank investigates a flagged payment. The team is new and fast-paced, and you'll have a lot of autonomy. You'll spend a lot of time speaking with people across Mistral to work out what matters most, then decide what to build. WHAT YOU WILL DO - Run discovery with customers, industry experts and teams across Mistral, then help decide which use cases are worth building first. - Design new benchmarks for industry use cases and frontier capabilities, including how they're scored. - Build evals where agents work inside real software (e.g., CAD and simulation tools), and run them on our models with checks that the results stay reliable over time. - Stress-test existing evals to find flaws and bugs before we rely on them. - Source data with expert vendors. Where customer data can't leave the customer, build realistic proxy or synthetic data instead. - Write up and present what you find so leaders across Mistral can act on it. - Help other teams build their own evals, with tools and guides they can reuse. WHAT WE'RE LOOKING FOR EXPERIENCE - 2+ years of industry experience (e.g., in software, AI, or consulting), or a PhD. - A software engineering or research background, with experience writing code that others can build on. - Experience working directly with customers, industry experts, or other teams (e.g., through consulting, solutions engineering, or research collaborations). - Experience building something with LLMs. - Comfort working with large datasets, including building and cleaning them. TECHNICAL - Strong Python skills. - Comfortable working in a large, shared codebase and getting your code through reviews by other teams. - A strong understanding of LLM training, inference, and evaluation. COMMUNICATION - You enjoy speaking with people and are good at it. - You write clearly. A short doc or deck from you is enough for a busy leader to make a decision. - Confident presenting to both technical and non-technical audiences. - Fluent in English. HOW YOU WORK - High energy, and you don't need a roadmap. You move independently and handle uncertainty with confidence. - Proactive and high-agency. You spot what needs doing and get it done. - You make good decisions about what to build first and can explain why. - Low-ego, collaborative, and eager to learn. - Curious, with a track record of learning things outside your work or studies. You can get to grips with a new field in a few weeks. NICE TO HAVE - Experience building AI evaluations, especially for industry applications. - Published research on evals or contributions to open-source evaluation frameworks. - Experience building datasets, generating synthetic data, developing labelling guidelines, or working with annotation vendors. - A background in an industry outside software (e.g., engineering, finance, or science). WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Amsterdam; Munich; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As International Mobility Lead, you will own and develop our international mobility approach, supporting employees and the business on cross-border moves and assignments. You will act as the key point of contact for mobility topics, balancing employee experience, business needs and compliance requirements. WHAT YOU WILL DO - Lead and coordinate international transfers and mobility cases end-to-end. - Advise HR teams, managers and employees on mobility options and requirements. - Manage and continuously improve mobility policies and processes. - Coordinate immigration, tax, social security and payroll topics with internal teams and external providers. - Ensure a smooth and consistent employee experience throughout the mobility journey. - Manage mobility partners and vendors, ensuring quality and cost-effective delivery. - Monitor mobility activity and provide relevant reporting and insights. WHAT WE'RE LOOKING FOR - Strong experience in International / Global Mobility within an international HR environment. - Good knowledge of mobility topics, including immigration, tax, social security and cross-border employment, benefits. - Strong stakeholder management skills and the ability to partner effectively with HR teams, managers and employees. - A pragmatic and solution-oriented mindset, with the ability to navigate complex situations. - Strong organizational skills and the ability to manage multiple mobility cases and priorities. - A low-ego, team-first mindset WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Singapore Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Owns Mistral’s strategic relationship with EY across APAC. Manages the EY relationship and joint go-to-market end to end, delivering revenue and industry impact. Orchestrates multi-country pursuits spanning ASEAN (Malaysia, Thailand, Vietnam, Indonesia and the Philippines), Australia, India, Japan and Korea, owning the seating model, deal economics and partner governance through MD sign-off. Owns partner-leadership access at the change-maker level: AI practice leads, industry MDs and CTOs at regional and global level, including EY Consulting leadership. Architects and operationalises the APAC GSI Partner Playbook: the frameworks, co-sell motions, solution accelerators and delivery-readiness programmes needed to scale frontier AI regionally, including the sovereign AI narrative that differentiates Mistral in regulated markets. Location: Based in Singapore, with travel to ASEAN and APAC countries. What success looks like First 12 months - Executive relationships built across EY Consulting at AI practice lead, industry MD and CTO level, including EY’s Singapore hub and its practices across ASEAN and APAC countries. - A joint EY–Mistral GTM plan live: shared ICPs, vertical use cases, field plays and demand generation, with named account coverage across ASEAN and APAC countries. - One to two named, in-flight APAC deals of flagship scope and complexity, converted from or created through global agreements. - Partner-led and partner-attached pipeline delivered against the team target across sovereign AI, AI Studio and enterprise deployments. - Two to three multi-year GTM agreements or MOUs signed, covering revenue targets, co-sell motions, enablement and commercial frameworks. Key outcomes - Partner-influenced revenue from EY contributes a fifth or more of APAC annual bookings. - Mistral embedded in partner platforms, marketplaces, sovereign-cloud offerings and regional AI Lab programmes. - Certified EY delivery pods operational, with a stable base of partners delivering repeatable demand. Key responsibilities - Own the EY relationship and joint GTM across APAC: executive sponsorship, joint account planning, pursuit support and governance. - Own APAC GSI partner strategy, with EY as the anchor integrator. - Drive EY engagement across ASEAN and APAC countries from Singapore. - Convert or create global agreements and MPAs into named APAC deals; orchestrate multi-country pursuits across ASEAN and APAC countries. - Architect joint GTM: messaging, ICP alignment, vertical use-case strategy, field plays and demand generation. - Guide EY in building profitable Mistral service lines and certified delivery pods. - Lead deal orchestration: partner qualification, commercial alignment, seating model, deal economics and delivery planning. - Own partner scorecards, QBRs, pipeline reviews and performance analytics; ensure MPA, reseller/OEM and AI Lab frameworks are fit for multi-country use. Must have - 8–12+ years driving partner-led revenue with GSIs, hyperscalers, telcos or OEMs across APAC. - Has worked at EY, or has directly managed the EY relationship (alliance, partnership or account leadership), with first-hand knowledge of how EY Consulting operates, including its service lines, practice and industry structure, alliance model, decision-making, and how deals are sold, staffed and governed. - Demonstrated ability to manage a strategic GSI relationship and its joint GTM, operating at AI practice lead, industry MD and CTO level and converting or creating global agreements into named APAC deals. - Track record engaging C-suite and securing multi-year commercial frameworks. - Experience structuring multi-country pursuits, seating models and partner governance requiring MD-level sign-off, including across ASEAN and APAC countries. - Commercial acumen in AI/cloud: able to translate AI Studio, sovereign AI and GPUaaS into clear revenue models. Nice to have - Familiarity with model deployment, GPU infrastructure or AI Lab concepts. - Existing relationships within EY AI/Cloud practices. - Prior use of hyperscaler funding (ECIF, MACC, OCP), MDF or co-sell pipelines. - Exposure to sovereign AI or public-sector transformation in regulated APAC markets, including ASEAN. Ideal backgrounds Current or former EY Consulting leaders (alliance directors, AI/data practice leads, industry or sector leads), and leaders who have directly managed the EY relationship from a vendor, hyperscaler or technology partner side (e.g. senior partner sales managers at AWS, Microsoft or Google Cloud; partner account managers at Nvidia, Dell or HPE); regional or global alliance directors at Deloitte; GTM and strategic partnership leads at fast-growing AI, data or infrastructure vendors. Languages: English required. Mandarin, Japanese or Korean a bonus for multi-country engagement. Bahasa (Indonesia/Malaysia), Thai, Vietnamese or Filipino a plus for ASEAN engagement. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York; Palo Alto; San Francisco; Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE We are seeking a Head of Analyst Relations to build and lead Mistral's global Analyst Relations program. This is a foundational leadership role responsible for shaping how the world's most influential industry analysts understand Mistral, our products, and our long-term vision. We are establishing a new AI category, private AI for mission-critical use. And we are giving customers ownership of their AI with open weights, powerful tools to control and connect the AI, and the ability to deploy it wherever they want, from edge to cloud to dedicated sovereign hosting. Our analyst partners will help create this category, explain its importance, and guide the customers that need it. We need you to help them help us! You will serve as a strategic advisor to executives and partner closely with Marketing, Communications, Product, Sales, and Leadership to ensure Mistral is positioned effectively across the analyst ecosystem. You will own relationships with firms such as Gartner, IDC, Forrester, Futurum, Moor Insights, Constellation, and more to help establish Mistral as a category-defining company in artificial intelligence. This role reports into the CMO and works closely with the executive leadership team. WHAT YOU'LL DO - Develop and execute Mistral's global Analyst Relations program. - Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software. - Shape and influence analyst perceptions of Mistral's products, vision, and market position. - Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions. - Partner with Product Marketing to craft differentiated messaging and category narratives. - Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports. - Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams. - Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes. - Build and scale the Analyst Relations function as Mistral continues its global expansion. WHAT WE'RE LOOKING FOR - 10+ years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies. Experience in AR and other marketing or product disciplines is preferred. - Deep understanding of the analyst ecosystem and experience managing relationships with leading firms. - Experience supporting high-growth B2B technology or AI organizations. - Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership. - Comfortable operating in a fast-paced, high-growth environment with a high degree of autonomy. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. WHAT YOU WILL DO - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. WHAT WE'RE LOOKING FOR - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. NICE-TO-HAVES - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are seeking a talented and experienced Research Engineer to join our newly forming Search and Services Platform team within Research Platform. You will build and operate the large-scale search and services that our models rely on as tools — from self-hosted, web-scale, search indexes to knowledge graphs and databases served through MCP. You will work closely with researchers and with the pretraining data, sandbox and data platform teams to make these services reliable, scalable and fast, on infrastructure measured in hundreds of terabytes of NVMe storage and thousands of CPU cores to support both data generation and critical training runs. What you will do As a Research Engineer on the Search and Services team, your responsibilities will include (but may not be limited to): - Designing, building and operating large-scale search infrastructure: self-hosted Vespa clusters indexing web-scale corpora, managed indexes for smaller corpora, and vendor search endpoints. - Self-hosting and maintaining a wide range of structured data sources — knowledge graphs (Wikidata, UniProt, Materials Project), scholarly data (OpenAlex, OpenAIRE), statistical databases (Eurostat, World Bank, IMF, OECD), open data portals and more. - Designing interfaces and tools to expose to the models and agents to use the services in different ways (direct YQL or SPARQL queries, or more refined and constrained MCPs to mimic external services) to support data generation and agentic training. - Building the data pipelines that ingest, index and serve massive datasets, including indexing our own pretraining corpora for exploration, deduplication and eval-leakage checks. - Building strong relationships with researchers and adjacent teams (pretraining data,, sandbox, data platform), understanding their workflows and enabling them to achieve more by leveraging your expertise. - Communicating and producing documentation or any content that will help teams make the most of the services you'll build. About you - 5+ years of successful experience in search engineering, data infrastructure, or a similar SRE / platform role. - Proficiency in software development (Python, Go...) and programming best practices. - Hands-on experience with large-scale search or data systems (e.g. Vespa, Elasticsearch / OpenSearch, ClickHouse or similar). - Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) - Exposure to infrastructure management: containerization, orchestration (Kubernetes), infra-as-code, monitoring, logging, alerting, observability...). - Experience designing and operating data pipelines that address large amounts of data. - Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). - Ownership, high agency and constantly seeking to learn and improving things for others. - Autonomous, self-driven and able to work well in a fast-paced startup environment. - Low ego and team spirit mindset. - Your application will be all the more interesting if you also have: - First-hand Vespa (or equivalent large-scale information retrieval) experience. - Experience building or operating MCP servers / tool-serving infrastructure for LLMs. - Familiarity with knowledge graphs, RDF / SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). - Experience with large bare-metal infrastructure or HPC environments. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solution organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide. The Solution organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes. Solution Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific. We are hiring a Head of Solution Operations. We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solution scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership. WHAT YOU WILL DO - Own the Solution operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solution tooling stack, and safety, security, and compliance built into how the team works. - Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography. - Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground. - Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies. - Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP. - Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team. - Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase. - Partner across functions. Work daily with Solution leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no. HOW WE WORK IN SOLUTION - We care about people and outputs. What matters is what you ship. - The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not copying what worked before. - We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. ABOUT YOU Whatever your path, you bring: - Extensive leadership experience, with demonstrated impact building and leading teams or functions in a fast-scaling environment. - A track record of industrializing something handcrafted but working: processes, systems, and teams that scaled an order of magnitude without losing what made them work. - The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action. - Data-driven and AI-fluent: you build the internal tools, automations, dashboards, and AI workflows you rely on. - Global operating range: you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders. - Stakeholder management: you align competing priorities and drive decisions without formal authority. - Fluent in English; additional languages are a plus. IDEALLY - Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations. - Experience operating at global scale across EMEA, the US, and Asia-Pacific. - Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot. - MBA or advanced degree preferred. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. WHAT YOU WILL DO - Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. - Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. - Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. - Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. - Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. - Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. - Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. WHAT WE'RE LOOKING FOR - Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. - Strong Python skills and solid software-design instincts: testing, code review, CI/CD. - A builder mindset: you have constructed systems from the ground up, not just operated polished ones. - A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. - Self-starter, low-ego and collaborative, with a product mindset toward your users. - Curiosity about ML and RL — this experience is not required, but a desire to learn is. NICE-TO-HAVES - Hands-on experience with Ray or similar distributed-computing frameworks. - Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. - Experience building or working with agentic workflows and environments. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Montréal ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Montreal, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. As this role covers Quebec, fluency in French is required to engage effectively with customers, partners, and stakeholders in the Quebec market.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, including the Quebec business environment, with strong knowledge of the financial services sector. - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Fluency in both French and English (written and verbal) is required for this role. - Outstanding negotiation and communication skills to build relationships and close deals effectively. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Toronto ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Toronto, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   - 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. - Deep understanding of the Canadian market dynamics and enterprise landscape, with strong knowledge of the financial services sector (banking, insurance, asset management). - Experience selling into financial institutions and other large regulated enterprises. - Experience of consultative selling of highly complex, technical products. - Bachelor's and/or Master's degree in Business, Computer Science, or a related field. - Significant work experience within the AI ecosystem or related data/infrastructure field. - Experience working at a successful, fast-growing startup, ideally in deep-tech. - Strong technical skills to navigate quickly evolving products and steer technical discussions. - Outstanding negotiation and communication skills to build relationships and close deals effectively. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Join Mistral AI’s Strategic Licensing Partnerships team and help shape the future of sovereign frontier AI. Working at the intersection of corporate law, venture finance, and frontier research, you will support strategic initiatives that transform high-value real-world financial, corporate, and specialized data assets into frontier AI capabilities.   In the Strategic Licensing Partnerships Intern role, you will drive data sourcing initiatives and engage key stakeholders across financial services, venture capital, private equity, and institutional networks. You will merge strategic deal execution with practical technical work—leveraging state-of-the-art LLM tools and AI agents to demonstrate how specialized financial data drives next-generation AI solutions.   You will collaborate closely with cross-functional teams across IP & Licensing, Applied AI, Engineering, and Research to align content sourcing with Mistral AI’s strategic roadmap. This role is ideal for a high-potential, hybrid legal/business profile who combines strong financial and legal acumen with deep AI curiosity, hands-on tech fluency, and an adaptable mindset to thrive in a fast-paced frontier research environment. What You Will Do - FSI/ PE / VC ecosystem research & outreach: conduct deep-dive research across private equity/venture capital and financial services industry providers to identify data partnership opportunities. - Coordinate with Applied AI and Research teams to test current LLM tools, help configure custom AI agents, and adapt interactive product demos for financial partners (no software engineering degree required) - Privacy & data partner operations: oversee specialized external privacy vendors, managing deliverables, compliance quality, and data quality standards. - Program tracking & cross-functional alignment: establish tracking metrics, monitor pipeline velocity, and communicate progress and risk mitigation plans across Engineering, Research, Product, Legal, and Leadership. What We’re Looking For: - Background: final-year Master 2 / Grande École student in Corporate Law, Business/Finance, Private Equity, or Tech Governance (hybrid legal/business profile strongly preferred). - Tech fluency: strong AI curiosity and hands-on tech fluency (comfortable configuring AI agents, building prompt workflows, adapting demos). Software engineering degree not required. - Interests: passion for VC, PE, financial services innovation, and corporate restructuring. - Fluent French (required) and professional English - Location & work authorization: this internship is available only in France. Please apply only if you have the required work authorization to complete the internship for its full duration. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE We’re seeking an Internal Event Manager to lead our internal event strategy and execution. In this role, you’ll develop and implement a comprehensive events plan, manage our new event spaces, and collaborate with internal teams and external agencies to deliver exceptional experiences for Mistralers. WHAT YOU'LL DO - Design and execute a strategy for internal events, ensuring alignment with Mistral’s culture and objectives. - Plan and manage events from start to finish, including logistics, vendor coordination, and on-site execution. - Build and maintain relationships with vendors, venues, and service providers in Paris. - Act as the primary contact for internal teams hosting events in our new HQ. - Ensure events are delivered on time, within budget, and to the highest standards. WHAT WE ARE LOOKING FOR - At least +6 years, with 3 years as an Event Manager or in a similar role, ideally in a corporate or tech environment. - Strong organizational and project management skills. - Excellent communication and interpersonal abilities. - A network of trusted vendors and venues in Paris. - Fluency in English and French. - It would be ideal if you had: - Knowledge of AV and technical event requirements. - Familiarity with CRM or event management software. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE As a Research Engineer, GPU performance, you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count. Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale. WHAT YOU WILL DO - Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations. - Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists. - Integrate low-level efficient code into a high-level MLOps framework, so that optimisations benefit every training run and deployment rather than a single experiment. - Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs. - Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates. WHAT WE'RE LOOKING FOR - High technical competence for writing custom low-level kernels and pushing GPUs to their limits. - High expertise in the distributed computation infrastructure of current-generation GPU clusters. - Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review, CI/CD. - Self-starter, low-ego, collaborative. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We're looking for a proactive, detail-oriented Workplace Operations Manager to keep our San Francisco office running smoothly. You'll be the backbone of our day-to-day operations. Managing everything from vendor relationships and office logistics to event planning. This is a great fit for someone who thrives in a fast-paced environment, loves solving problems before they become problems, and takes pride in creating a great workplace experience for the whole team. What You Will Do: - Provide on-site support and serve as a first point of contact for employee questions - Perform daily inspections to keep the workplace clean, safe, and orderly. - Manage office repairs, maintenance schedules, and vendor relationships, escalating issues when necessary. - Handle incoming mail and package processing. - Support and manage onsite programs including food, snack, and beverage services. - Manage vendor relationships and contracts in partnership with Legal, Finance, and Procurement, from sourcing through renewal. - Plan and execute employee engagement events for the local team. - Serve as the primary point of contact for facilities issues and building management. - Help maintain a safe, organized, and welcoming office environment. Who You Are: - 3+ years of experience in an office management or workplace operations role (startup or tech company experience a plus) - Excellent organizational skills with strong attention to detail - Strong written and verbal communication skills, with a friendly, professional demeanor - Ability to multitask and prioritize in a fast-paced, ever-changing environment - A proactive, "can-do," "no task too small" attitude and a genuine desire to help others - Tech-savvy with Google Workspace, Slack, Notion, and ticketing systems - Experience working across different time zones is a plus - A collaborative team player who works well with colleagues across departments and builds strong relationships throughout the office - A plus: experience with access control and visitor management systems (e.g., badge provisioning, guest registration, security credentialing) WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; New York; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral is building a sovereign AI cloud. Our product surface is expanding fast - GPU clusters, compute orchestration, storage, networking, serverless containers, inference, and training. We're hiring a VP Product to own our cloud infrastructure and inference portfolio end to end: the foundational systems that power Mistral's datacenters, and the inference platform that brings the world's most advanced generative AI models to production. This is a broad mandate. You'll own both scopes and, as the business scales, build the organization and stream leadership to delegate them. You'll define the vision, hire and grow the team, and set the operating rhythm that lets a fast-moving org deliver with focus. This is a highly visible role with the opportunity to shape how Mistral's technology is adopted globally and to unlock a major new line of business. WHAT YOU'LL DO - Strategy & vision Define and evangelize the product vision, strategy, and annual goals for our Inference and Cloud products, aligned with customer needs, company objectives and market trends. - Go-to-market Own adoption, revenue contribution, and gross margin. Partner with marketing and GTM teams on positioning, pricing and packaging, launch plans, and adoption strategy. - Team leadership Build the product organization for these products: hire product managers and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews), and develop PMs through clear growth paths. - Customer & market fit Work directly with AI-native startups and enterprises running advanced AI workloads to drive product–market fit across the portfolio. - Delivery & execution Partner with engineering leadership to build a world-class compute infrastructure and inference platform delivering high-performance, cost-efficient AI at scale, with reliability, SLAs, and cost-per-token economics as first-class product concerns. - Market & technology insights Track the competitive landscape and emerging technologies across AI infrastructure and managed inference to inform product strategy and identify new opportunities - Research & open source Partner with research and engineering teams to turn emerging model architectures and advances in open-source inference into product opportunities that improve performance and efficiency WHAT WE'RE LOOKING FOR - Extensive experience in tech and infrastructure, including significant time leading product organizations with a proven track record of bringing cloud infrastructure, large-scale distributed systems, or inference products to market. - Engineering background prior to moving into product management - You've taken an infra or inference product from early stage to material revenue and adoption. - Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences. - Fluency in the economics of the business: comfortable owning gross margin, unit economics, and the tradeoffs behind pricing and capacity. - Ability to align and inspire cross-functional teams without direct authority, and to communicate credibly with executives, engineers, and customers. - Low ego, high bias for action, and comfort in ambiguity — equally at home crafting a strategy narrative and diving into metrics, a UX detail, or a customer escalation. WHAT WE OFFER We offer a 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. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.