{"data":{"company":{"name":"Mistral","slug":"mistral","logo_url":null,"canonical_domain":"mistral.ai","editorial":null,"wikidata_id":"Q22671858","founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Remote agents in Vibe. Powered by Mistral Medium 3.5. - Mistral AI","url":"https://news.google.com/rss/articles/CBMibkFVX3lxTE9hempOVFBrVDA2ejdUb3EyX18xQUFuVjZuTzZiUmMwa3ltQ2JpdXQ1eG9wTDFVX3NQQUVFNVZnWmtubDAtckgwbXdMTm85Y2pZX1ExcU1iZ1BhY1pTaHVyLXRjeERGREd3WjFZcVpR?oc=5","publisher":"Mistral AI","date":"2026-05-01","snippet":"Remote agents in Vibe. Powered by Mistral Medium 3.5. Mistral AI"},{"title":"How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes","url":"https://news.google.com/rss/articles/CBMivwFBVV95cUxQTmlkZXk2dkxydU5yeW9lUjRzb0dqUW94WU1uTnF6MmZqcnpnR0RNTXNQdXJuTUJQRnBtMzJPNFhIakdHNGY4MmsybWV2djlrUWthN2psZ29FQ19henRLajVCTjVxXzMxSGJmbzh2UWN2dDBYbmN2RC1jamFCcDJlamhyQjFTU2VjM1BlRDllQ2hsc1ZMVTZ4bmltdFY0RnVkQXZqZGpDTnQ4T3VDZTFQNWJ2NFhTblBmUnFhQ3c3SQ?oc=5","publisher":"Forbes","date":"2026-04-16","snippet":"How France’s Mistral Built A $14 Billion AI Empire By Not Being American Forbes"},{"title":"Ondas Completes Merger of U.S. Defense Prime Contractor Mistral, Brings Programs in Excess of $1 Billion and Expands Direct Prime Participation Across U.S. Department of War Programs - Ondas Holdings","url":"https://news.google.com/rss/articles/CBMiowFBVV95cUxQSFUxZ2VySi1mZ1BvaDVNVVRuX1V2VXRzRlk0emdib1NDMXNjRE83VEhEMFF4cU5FbkJmRXc0SWVibVpzZERBNFNqN3lDM3hmQ2ZTS1lkUFJ2cWlWTUpWaENFZThVVHZFdkJOZDNBRWVpVkVuUV9aMU84dHRTN095NURmY3dCR25QRmVNR29hZHhhV3FUd3dGc2E4eUJuUV80ZVhz?oc=5","publisher":"Ondas Holdings","date":"2026-04-24","snippet":"Ondas Completes Merger of U.S. Defense Prime Contractor Mistral, Brings Programs in Excess of $1 Billion and Expands Direct Prime Participation Across U.S. Department of War Programs Ondas Holdings"},{"title":"SpaceX and Cursor have explored a team-up with Mistral to take on AI rivals - Business Insider","url":"https://news.google.com/rss/articles/CBMimwFBVV95cUxPaWNLNE1TWGdkNDcwWXZTWm5CUGZOejBsTDBxN0Q1ZURnMUs0dWhBR1VfVVYxcldYQ2hDT1Ztc3hTcEgtZVhqMHV4N3ZiWHVvdHUwLUJmWVJiejB5SmZvMUFrcXg4SElEeUdVWnBfSlM4WVowU3ktQXZCSFBQZHFqcXZuNzZSaF9VN19NbjZCV3FkYzN5eHZxVnRGYw?oc=5","publisher":"Business Insider","date":"2026-04-22","snippet":"SpaceX and Cursor have explored a team-up with Mistral to take on AI rivals Business Insider"},{"title":"Bugatti unveils the W16 Mistral 'Fly Bug' – the latest Sur Mesure masterpiece - Bugatti Newsroom","url":"https://news.google.com/rss/articles/CBMilAFBVV95cUxQSmhKSWZLQnd0Qm5Nak1pSTF3c0h3UnpRTnZTdi05amRESlFoSnYya2tRWTYybFZsbVc5U0pfaE91QVJXc1htdU41aDFxcUR5Vl9IYnFKbTg5dUphU0VkTmk0dWdSTjZrTDVsVUxkb3h5QzRKVWVMVFJKVEZNZE9IenotMVVVVEV1Z2JTUkt4NmhtTzRB?oc=5","publisher":"Bugatti Newsroom","date":"2026-04-30","snippet":"Bugatti unveils the W16 Mistral 'Fly Bug' – the latest Sur Mesure masterpiece Bugatti Newsroom"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":["wikidata","news"],"last_enriched_at":"2026-03-20T16:24:42.816Z"},"hiring":{"total_jobs":14,"categories":[{"category":"engineering","count":12},{"category":"hr","count":2}],"experience_levels":[{"level":"senior","count":8},{"level":"mid","count":3},{"level":"entry","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":10},{"arrangement":"onsite","count":3},{"arrangement":"remote","count":1}],"top_titles":[{"title":"Data Quality Specialist","count":4},{"title":"AI Scientist","count":3},{"title":"AI Scientist - Robotics","count":2},{"title":"AI Scientist - Audio","count":2},{"title":"Team & Management Partner","count":1},{"title":"HR Business Partner","count":1},{"title":"AI Scientist - Paris/London - Onsite or Hybrid or Remote","count":1}],"locations":[{"location":"paris","count":7},{"location":"france","count":3},{"location":"palo alto","count":2}],"skills":[{"skill":"Python","required":10,"preferred":0,"total":10},{"skill":"PyTorch","required":8,"preferred":0,"total":8},{"skill":"JAX","required":6,"preferred":0,"total":6},{"skill":"Ray","required":6,"preferred":0,"total":6},{"skill":"Kubernetes","required":6,"preferred":0,"total":6},{"skill":"Fine-tuning","required":0,"preferred":5,"total":5},{"skill":"Rust","required":5,"preferred":0,"total":5},{"skill":"Go","required":5,"preferred":0,"total":5},{"skill":"Java","required":5,"preferred":0,"total":5},{"skill":"Distributed Systems","required":4,"preferred":0,"total":4},{"skill":"Training Large Transformer Models In A Distributed Fashion","required":0,"preferred":4,"total":4},{"skill":"MLOps","required":1,"preferred":3,"total":4},{"skill":"MLOps Stack","required":0,"preferred":3,"total":3},{"skill":"Evaluation","required":0,"preferred":3,"total":3},{"skill":"Deployment","required":0,"preferred":3,"total":3},{"skill":"Speech Input/output Methodologies","required":2,"preferred":0,"total":2},{"skill":"Large-scale Speech-language Models","required":0,"preferred":2,"total":2},{"skill":"Large Language Models","required":2,"preferred":0,"total":2},{"skill":"Audio Input/out","required":0,"preferred":2,"total":2},{"skill":"Natural Language Processing","required":0,"preferred":2,"total":2}],"salary_stats":null,"job_types":[{"type":"full-time","count":14}],"latest_jobs":[{"id":"job_9e0a391d-70f","title":"Data Quality Specialist","source_url":"https://jobs.lever.co/mistral/bd88179e-de69-4675-8a6c-74e2547a85ac","location":"France","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Engineering","description":"<p>We&#39;re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.</p>\n<p>This is a hybrid quality reviewing and tooling role: you&#39;ll spend the majority of your time reviewing and auditing code annotations against rubrics to ensure data used for training and evaluating AI models meets a high bar, and the remainder building, maintaining, and troubleshooting the internal tooling that annotators rely on day-to-day.</p>\n<p>You&#39;ll collaborate closely with the annotators, technical program manager, and engineer stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models</li>\n<li>Surface systemic issues, edge cases, and gaps in guidelines back to annotation operations and technical stakeholders</li>\n<li>Produce annotations yourself when needed, modeling the quality bar expected of the team</li>\n<li>Build and maintain internal tools and automation that streamline annotator workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar</li>\n<li>Troubleshoot environment, tooling, and CLI/git issues for annotators on their local machines, liaising with IT and engineering as needed</li>\n</ul>\n<h4>About You</h4>\n<ul>\n<li>A degree in computer science, engineering, or a related field. Alternatively, 2 to 5 years of professional experience in software engineering, technical support, or developing tools</li>\n<li>Hands-on experience using code agents (e.g. Mistral’s vibe) in your own development workflow, and genuine interest in how they&#39;re evolving</li>\n<li>Proficient in at least one programming language (e.g. Python, JavaScript, or similar), with enough breadth to read and reason about code across a few core languages</li>\n<li>Able to apply consistent judgment against a rubric and surface edge cases, ambiguities, or gaps in guidelines</li>\n<li>Sustained focus and accuracy on detail-oriented, high-volume review work</li>\n<li>Comfortable working in a Unix-like terminal: shell basics, package managers, environment setup, and git workflows (branches, merges, resolving conflicts)</li>\n<li>Able to troubleshoot local development environment issues (dependencies, virtual environments, paths, permissions) across common operating systems</li>\n<li>Professional proficiency in English, with strong writing and comprehension skills</li>\n</ul>\n<h4>Nice to Have</h4>\n<ul>\n<li>Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data</li>\n<li>Experience building an annotation team through interviews and training</li>\n<li>Experience supporting technical users or troubleshooting developer environments (internal tools support, DevRel, teaching assistant for coding courses, etc.)</li>\n<li>Fluency across multiple programming languages, or domain depth in one of: frontend, backend, DevOps, MLOps, data engineering</li>\n<li>Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data</li>\n<li>Experience developing, deploying, and managing internal tooling or automation scripts</li>\n</ul>","enriched_at":1777046780618},{"id":"job_037bb819-c51","title":"Data Quality Specialist","source_url":"https://jobs.lever.co/mistral/bd88179e-de69-4675-8a6c-74e2547a85ac","location":"France","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Engineering","description":"<p>We&#39;re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.</p>\n<p>This is a hybrid quality reviewing and tooling role: you&#39;ll spend the majority of your time reviewing and auditing code annotations against rubrics to ensure data used for training and evaluating AI models meets a high bar, and the remainder building, maintaining, and troubleshooting the internal tooling that annotators rely on day-to-day.</p>\n<p>You&#39;ll collaborate closely with the annotators, technical program manager, and engineer stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models</li>\n<li>Surface systemic issues, edge cases, and gaps in guidelines back to annotation operations and technical stakeholders</li>\n<li>Produce annotations yourself when needed, modeling the quality bar expected of the team</li>\n<li>Build and maintain internal tools and automation that streamline annotator workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar</li>\n<li>Troubleshoot environment, tooling, and CLI/git issues for annotators on their local machines, liaising with IT and engineering as needed</li>\n</ul>\n<h4>About You</h4>\n<ul>\n<li>A degree in computer science, engineering, or a related field. Alternatively, 2 to 5 years of professional experience in software engineering, technical support, or developing tools</li>\n<li>Hands-on experience using code agents (e.g. Mistral’s vibe) in your own development workflow, and genuine interest in how they&#39;re evolving</li>\n<li>Proficient in at least one programming language (e.g. Python, JavaScript, or similar), with enough breadth to read and reason about code across a few core languages</li>\n<li>Able to apply consistent judgment against a rubric and surface edge cases, ambiguities, or gaps in guidelines</li>\n<li>Sustained focus and accuracy on detail-oriented, high-volume review work</li>\n<li>Comfortable working in a Unix-like terminal: shell basics, package managers, environment setup, and git workflows (branches, merges, resolving conflicts)</li>\n<li>Able to troubleshoot local development environment issues (dependencies, virtual environments, paths, permissions) across common operating systems</li>\n<li>Professional proficiency in English, with strong writing and comprehension skills</li>\n</ul>\n<h4>Nice to Have</h4>\n<ul>\n<li>Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data</li>\n<li>Experience building an annotation team through interviews and training</li>\n<li>Experience supporting technical users or troubleshooting developer environments (internal tools support, DevRel, teaching assistant for coding courses, etc.)</li>\n<li>Fluency across multiple programming languages, or domain depth in one of: frontend, backend, DevOps, MLOps, data engineering</li>\n<li>Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data</li>\n<li>Experience developing, deploying, and managing internal tooling or automation scripts</li>\n</ul>","enriched_at":1777036317969},{"id":"job_a4355eb8-6ed","title":"Team & Management Partner","source_url":"https://jobs.lever.co/mistral/21e7e5d6-a469-4eeb-a0c5-2e0f3e92bd9e","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"HR","description":"We are seeking a Team & Management Partner to join our team at Mistral. As a Team & Management Partner, you will provide daily HR guidance, consult with line management, and support a positive and productive work environment by addressing employee morale and concerns proactively.\n\nYour responsibilities will include:\n• Providing daily HR guidance\n• Consulting with line management\n• Supporting a positive and productive work environment by addressing employee morale and concerns proactively\n• Reporting to management and providing decision support through HR metrics\n• Being Mistral's first culture advocate\n\nYou will also be responsible for developing and implementing projects, policies, and scalable processes, including:\n• Talent retention strategy\n• Training policy\n• Career paths\n• Career reviews and appraisal system\n• Sustainability of work-life balance\n\nTo be successful in this role, you will need to have a Bachelor's/Master’s degree in Human Resources, Business Administration, or a related field, and 5-8 years of progressive HR experience, most of which in a startup or high-growth environment.\n\nYou will also need to have cross-country experience, managing employee populations spread in different geographies, especially in EMEA, coupled with strong knowledge of the French law & HR policy, employment regulations.\n\nAs a Team & Management Partner, you will be responsible for managing the employee lifecycle from onboarding to retention, and exit.\n\nYou will also need to have proven ability to develop and implement HR strategies that align with business goals and drive results.\n\nThe ideal candidate will have excellent communication and interpersonal skills, strong analytical and problem-solving skills, and a hands-on and doer approach.\n\nYou will also need to have proficiency in streamlining HR processes to enhance efficiency, improve employee experience, and maintain compliance with labor laws and regulations.\n\nA builder mindset is essential for this role.","enriched_at":1776430082022},{"id":"job_7cd87dca-406","title":"Data Quality Specialist","source_url":"https://jobs.lever.co/mistral/1cb8bbe9-012f-46a6-83d0-1200be477793","location":"France","job_type":"full-time","experience_level":"entry","work_arrangement":"onsite","category":"Engineering","description":"We're seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.\n\nIn this role, you will contribute to and audit human data annotations, upholding the highest standards of quality and efficiency.\n\nKey Responsibilities:\nCreate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models\nIn collaboration with the technical team, review/audit annotations in order to clarify requirements and share insights that improve annotation processes, tools, and guidelines\n\nAbout you:\nRelevant academic background (science, technology, engineering, mathematics)\nProfessional proficiency in English, with strong writing and comprehension skills\nOutstanding research and analytical skills\nExercises great judgement with complex instructions, limited data, and/or multiple information sources\nExcellent communication, interpersonal, and organisational abilities\nAdapts easily to dynamic environments and changing requirements\nAppetite for operational work and high tolerance for repetitive tasks\nPassionate about and committed to learning new tools and technologies\n\nNice to have:\nProven track record working with data\nFluency in multiple languages\nExperience with code\n\nAdditional Information:\nMistral offers a competitive cash salary and equity, daily lunch vouchers, monthly contribution to a Gympass subscription, monthly contribution to a mobility pass, full health insurance for you and your family, and a generous parental leave policy.","enriched_at":1776430031569},{"id":"job_9dfaf7ad-b1c","title":"AI Scientist - Robotics","source_url":"https://jobs.lever.co/mistral/60f9dc5b-6d1c-4236-be38-be7233669f00","location":"Paris","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>\n<p><strong>Job Description</strong></p>\n<p>We are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research and develop novel AI methods for general-purpose mobile manipulation robots</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models</li>\n<li>You are a highly proficient software engineer in at least one programming language (preferably Python)</li>\n<li>You have hands-on experience with AI frameworks (preferably PyTorch)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models</li>\n<li>You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>In France:</p>\n<ul>\n<li>Competitive cash salary and equity</li>\n<li>Food: Daily lunch vouchers</li>\n<li>Sport: Monthly contribution to a Gympass subscription</li>\n<li>Transportation: Monthly contribution to a mobility pass</li>\n<li>Health: Full health insurance for you and your family</li>\n<li>Parental: Generous parental leave policy</li>\n<li>Visa sponsorship</li>\n</ul>","enriched_at":1776429976247},{"id":"job_6ea4460a-445","title":"AI Scientist","source_url":"https://jobs.lever.co/mistral/675b7f06-a76b-4144-af0c-4dd3282ef489","location":"Paris","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"About Mistral\n\nAt Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone. We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives.\n\nWhat will you do?\n\n* Research and develop novel methods to push the frontier of large language models\n* Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)\n* Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale\n* Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact\n\nAbout you\n\n* You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)\n* You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)\n* You have high engineering competence. This means being able to design complex software and make it usable in production\n* You are a self-starter, autonomous and a team player\n\nNow, it would be ideal if\n\n* You have hands-on experience with training large transformer models in a distributed fashion\n* You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment\n* You have a strong publication record in a relevant scientific domain\n\nBenefits\n\nFrance\n\n* Competitive cash salary and equity\n* Food: Daily lunch vouchers\n* Sport: Monthly contribution to a Gympass subscription\n* Transportation: Monthly contribution to a mobility pass\n* Health: Full health insurance for you and your family\n* Parental: Generous parental leave policy\n\nUK\n\n* Competitive cash salary and equity\n* Insurance\n* Transportation: Reimburse office parking charges, or 90GBP/month for public transport\n* Sport: 90GBP/month reimbursement for gym membership\n* Meal voucher: £200 monthly allowance for its meals\n* Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)","enriched_at":1776429970643},{"id":"job_75be3667-194","title":"AI Scientist - Audio","source_url":"https://jobs.lever.co/mistral/94173e13-3050-4044-862a-e8dfc2deda5e","location":"Paris","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"About Mistral\n\nAt Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.\n\nWe develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.\n\nWhat will you do?\n\n* Research and develop novel methods to push the frontier of large language models\n* Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)\n* Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale\n* Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact\n\nAbout you\n\n* An expert in speech input/output methodologies (specific to audio)\n* Highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)\n* Hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)\n* High engineering competence. This means being able to design complex software and make it usable in production\n* Self-starter, autonomous and a team player\n\nNow, it would be ideal if\n\n* You have experience working with large-scale speech-language models\n* You have hands-on experience with training large transformer models in a distributed fashion\n* You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment\n* You have a strong publication record in a relevant scientific domain\n\nBenefits\n\nFrance\n\n* Competitive cash salary and equity\n* Food: Daily lunch vouchers\n* Sport: Monthly contribution to a Gympass subscription\n* Transportation: Monthly contribution to a mobility pass\n* Health: Full health insurance for you and your family\n* Parental: Generous parental leave policy\n\nUK\n\n* Competitive cash salary and equity\n* Insurance\n* Transportation: Reimburse office parking charges, or 90GBP/month for public transport\n* Sport: 90GBP/month reimbursement for gym membership\n* Meal voucher: £200 monthly allowance for its meals\n* Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)","enriched_at":1776429962015},{"id":"job_fe6b2de2-36b","title":"AI Scientist","source_url":"https://jobs.lever.co/mistral/7b20d2c8-d5a7-4efd-a13e-05d920ec5985","location":"Palo Alto","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>About Mistral</p>\n<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p>Now, it would be ideal if</p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n<li>Audio/Speech experience - audio input/out, NLP</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and bonus structure</li>\n<li>Generous Equity</li>\n<li>Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)</li>\n<li>Pension: 401K (6% matching)</li>\n<li>PTO: 18 days</li>\n<li>Transportation: Reimburse office parking charges, or $120/month for public transport</li>\n<li>Coaching: we offer Betterup coaching on a voluntary basis</li>\n<li>Sport: $120/month reimbursement for gym membership</li>\n<li>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n<li>Visa sponsorship</li>\n</ul>","enriched_at":1776429959717},{"id":"job_66a96d8c-777","title":"AI Scientist","source_url":"https://jobs.lever.co/mistral/7b20d2c8-d5a7-4efd-a13e-05d920ec5985","location":"Palo Alto","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.</p>\n<p>We are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Research and develop novel methods to push the frontier of large language models</li>\n<li>Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)</li>\n<li>Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale</li>\n<li>Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact</li>\n</ul>\n<p><strong>About You:</strong></p>\n<ul>\n<li>You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)</li>\n<li>You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)</li>\n<li>You have high engineering competence. This means being able to design complex software and make it usable in production</li>\n<li>You are a self-starter, autonomous and a team player</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>You have hands-on experience with training large transformer models in a distributed fashion</li>\n<li>You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment</li>\n<li>You have a strong publication record in a relevant scientific domain</li>\n<li>Audio/Speech experience - audio input/out, NLP</li>\n</ul>\n<p><strong>What We Offer:</strong></p>\n<ul>\n<li>Competitive salary and bonus structure</li>\n<li>Generous Equity</li>\n<li>Health: Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)</li>\n<li>Pension: 401K (6% matching)</li>\n<li>PTO: 18 days</li>\n<li>Transportation: Reimburse office parking charges, or $120/month for public transport</li>\n<li>Coaching: we offer Betterup coaching on a voluntary basis</li>\n<li>Sport: $120/month reimbursement for gym membership</li>\n<li>Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)</li>\n<li>Visa sponsorship</li>\n</ul>","enriched_at":1773142226219},{"id":"job_6ef094ae-1e3","title":"AI Scientist - Paris/London - Onsite or Hybrid or Remote","source_url":"https://jobs.lever.co/mistral/675b7f06-a76b-4144-af0c-4dd3282ef489","location":"Paris","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"At Mistral, we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world.\n\nWe are hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.\n\nResponsibilities:\n\n* Research and develop novel methods to push the frontier of large language models\n* Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)\n* Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale\n* Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact\n\nAbout you:\n\n* You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)\n* You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)\n* You have high engineering competence. This means being able to design complex software and make it usable in production\n* You are a self-starter, autonomous and a team player\n\nNow, it would be ideal if:\n\n* You have hands-on experience with training large transformer models in a distributed fashion\n* You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment\n* You have a strong publication record in a relevant scientific domain\n\nBenefits:\n\n* Competitive cash salary and equity\n* Food: Daily lunch vouchers\n* Sport: Monthly contribution to a Gympass subscription\n* Transportation: Monthly contribution to a mobility pass\n* Health: Full health insurance for you and your family\n* Parental: Generous parental leave policy\n\nFrance:\n\n* Competitive cash salary and equity\n* Food: Daily lunch vouchers\n* Sport: Monthly contribution to a Gympass subscription\n* Transportation: Monthly contribution to a mobility pass\n* Health: Full health insurance for you and your family\n* Parental: Generous parental leave policy\n\nUK:\n\n* Competitive cash salary and equity\n* Insurance\n* Transportation: Reimburse office parking charges, or 90GBP/month for public transport\n* Sport: 90GBP/month reimbursement for gym membership\n* Meal voucher: £200 monthly allowance for its meals\n* Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)","enriched_at":1773142049319}],"category_normalised":[{"category":"engineering","count":12},{"category":"hr","count":2}],"velocity":{"weeks":[{"week_start":"2026-03-09","count":6},{"week_start":"2026-04-13","count":6},{"week_start":"2026-04-20","count":2}],"trend":"stable","wow_pct":-67},"momentum":{"recent_14d":2,"prior_14d":6,"growth_pct":-67,"classification":"decelerating"},"salary_vs_industry":{"company_median":null,"industry_median":null,"percentile":null,"sample_size":0,"by_region":[],"transparency_pct":0,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":14,"industry_total":14,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.121,"skill_weighted_score":0.111,"top_exposed_titles":[{"title":"Data Quality Specialist","count":4,"score":0}],"top_exposed_skills":[{"skill":"Python","count":4,"score":0.111}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"EU","count":10,"share_pct":83.3},{"region":"United States","count":2,"share_pct":16.7}],"emerging":[{"region":"EU","recent_30d":6,"prior_30d":4,"growth_pct":50}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":7}}}}