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Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do - Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. - 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. - Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. - Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. - Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. - Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. - Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. WHAT YOU'LL BRING - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. - Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. - Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. - The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). - Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. - A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. NICE TO HAVE - PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. - A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. - Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. - Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Global Workplace: Remote ABOUT THE ROLE Aptura is looking for Subject Matter Experts from investment banking or M&A advisory to capture their expertise in Excel. You have used AI tools on your own work and been frustrated by the mistakes they make. You will turn that experience into realistic Excel tasks that test how well AI does the modelling work of an Investment Banking Analyst. RESPONSIBILITIES - Writing realistic Excel tasks drawn from your own work: extending existing models, fixing broken ones and building from a brief - Working through each task yourself so there is a clear, correct answer - Writing yes-or-no criteria precise enough that a grader can mark any attempt against them NECESSARY QUALIFICATIONS - 3+ years in investment banking, M&A advisory or corporate development - Deep hands-on Excel: merger models, pro formas, purchase accounting, precedent transactions, football fields and financial functions - Strong written English communication skills. - Attention to detail, and willingness to learn concepts in AI and Evals ADDITIONAL INFORMATION - Start Date : Immediate - Duration: Approximately 4–6 weeks - Payment: task-based. Experts who complete their first task within the required timeline will then be qualified to do multiple tasks for the remainder of the project. CONTRACT AND PAYMENT TERMS - You will be engaged as an independent contractor. - This is a fully remote role that can be completed on your own schedule. - Projects can be extended, shortened, or concluded early depending on needs and performance. - Your work at Aptura will not involve access to confidential or proprietary information from any employer, client, or institution. - Payments will be weekly following task completion. GETTING STARTED - Apply with your details and CV. Choose an available 30-minute group walkthrough call. - Attend the walkthrough and create one original task from your own work. Submit the brief, the actual input workbook(s) needed to complete it. Input-file uploads are compulsory. - Write the brief yourself. Input workbooks must also be human-built. Use real data that has been sanitised, or public data with the source named. No AI usage allowed. - We run your task against current frontier AI models. If the models get it wrong, you then write a detailed yes-or-no rubric, and a reviewer signs off on the task with you. - Completing onboarding does not guarantee a job offer; selection remains subject to written approval of the task proposal. ABOUT APTURA Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

Location: Москва GigaChat (GigaChain): Agentic Post-Training и Online RL Обязанности **Исследовать поведение модели:** * разбирать ошибки GigaChat в длительных задачах: потерю цели и контекста, слабое планирование, неверный выбор инструментов, зацикливание, ошибки восстановления и преждевременное завершение работы * анализировать отдельные шаги и целые траектории, находить систематические паттерны успешного и неуспешного поведения * понимать источник проблемы и определять, что нужно менять: обучающие данные, objective, reward-сигнал, модель или agentic environment. **Улучшать модель:** * разрабатывать и улучшать post-training пайплайны для агентных сценариев * работать с rollout’ами, reward-сигналами, rule-based и execution-based верификаторами, judge- и reward-моделями * создавать обучающие выборки из реальных и синтетических агентных траекторий, включая фильтрацию и отбор наиболее полезных примеров * выбирать подходящий метод обучения и понимать, когда сложный RL-контур оправдан, а когда задачу эффективнее решить более простым способом. **Оценивать изменения:** * строить evaluation для многошаговых агентных задач и анализировать качество не только по финальному результату, но и по поведению модели внутри траектории * проверять, переносится ли улучшение между задачами, бенчмарками и харнесами * контролировать регрессии и воспроизводимость результатов * взаимодействовать с командами обучения, инференса, данных, API и агентных харнесов. Требования * сильное владение Python и практический опыт работы с PyTorch * практический опыт LLM post-training: SFT, preference optimization, RLHF, online RL или близкие направления * умение самостоятельно ставить ML-гипотезы, проектировать эксперименты и делать выводы по их результатам * опыт построения пайплайнов данных * навык анализа модели на уровне отдельных примеров и траекторий * способность доводить исследовательскую идею до работающего и воспроизводимого решения. Условия * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

• Опыт от 5 лет в Quant / ML / DS. • Сильная математическая база.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU AI is changing how enterprises work with their content — from finding answers and extracting metadata to automating complex workflows. Realizing that potential requires rigorous research grounded in real customer needs. We're looking for a Product Manager, AI Research to lead Box's applied AI research agenda. You'll identify high-impact research opportunities, drive experiments with Engineering and AI partners, and translate findings into better products. Your work will improve Box AI's capabilities, reliability, and efficiency while establishing Box's credibility in enterprise AI. WHAT YOU'LL DO You will define the research roadmap by identifying customer problems and emerging AI capabilities worth investigating across knowledge work, metadata extraction, workflow automation, and more, prioritizing based on product impact and Box's differentiation. You will drive applied experimentation by partnering with Engineering, AI labs, and the broader AI ecosystem to test models, post-training techniques, and agent configurations, turning findings into actionable recommendations for model selection and product capabilities. You will advance the Box Agent by partnering with the Box Agent Product and Engineering teams to test harness updates and emerging technologies, measure improvements and regressions, and apply validated advances to improve the Box Agent's capabilities, performance, and user favorability. You will represent Box externally by developing research publications and evidence-backed narratives with Marketing and Communications, and serving as Box's applied AI research spokesperson in media interviews, press releases, and webinars. You will align Product, Engineering, and external partners around clear research priorities and carry experiments through to decisions and implementation. You will communicate technical findings in plain language and build evidence-backed narratives for customers, executives, and external audiences. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You will define the research roadmap by identifying customer problems and emerging AI capabilities worth investigating across knowledge work, metadata extraction, workflow automation, and more, prioritizing based on product impact and Box's differentiation. You will drive applied experimentation by partnering with Engineering, AI labs, and the broader AI ecosystem to test models, post-training techniques, and agent configurations, turning findings into actionable recommendations for model selection and product capabilities. You will advance the Box Agent by partnering with the Box Agent Product and Engineering teams to test harness updates and emerging technologies, measure improvements and regressions, and apply validated advances to improve the Box Agent's capabilities, performance, and user favorability. You will represent Box externally by developing research publications and evidence-backed narratives with Marketing and Communications, and serving as Box's applied AI research spokesperson in media interviews, press releases, and webinars. You will align Product, Engineering, and external partners around clear research priorities and carry experiments through to decisions and implementation. You will communicate technical findings in plain language and build evidence-backed narratives for customers, executives, and external audiences. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $160,000 — $200,000 USD

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.

Kled AI is looking for a Research Scientist Benchmarks and Evals to develop benchmarks, evaluate frontier models, and demonstrate the value of opt-in human data.

Location: Europe About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Barcelona, Spain About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Belgrade, Serbia About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Sofia, Bulgaria About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Germany About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

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: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for 3D Reconstruction Research Scientist to join our Research Team in London. Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production. You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. WHAT YOU’LL DO - Conduct original research in computer vision, machine learning, and spatial AI. - Design, implement, and evaluate novel algorithms for: - 3D reconstruction - Neural scene representations - 3D Gaussian Splatting - Geometric deep learning - Structure-from-Motion (SfM) - Meshing - Feed-forward models - Generative models - Spatial foundation models - Collaborate with research scientists and engineers to transition promising ideas into future products. - Develop large-scale experiments and benchmarking frameworks. - Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. - Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. WHAT YOU’LL BRING - PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. - A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. - Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. - Strong programming skills in Python and experience in PyTorch. - Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. - Ability to independently drive research projects from idea generation through experimentation and publication. NICE TO HAVE - Experience with classical reconstruction tooling (COLMAP or similar). - C++ or CUDA experience, and a feel for performance and on-device constraints. - Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Компания TRM Labs ищет опытного старшего исследователя данных, который будет заниматься расследованием финансовых преступлений и подготовкой исследований, основанных на доказательствах. В обязанности входит анализ регуляторных и судебных документов, использование открытых источников информации, а также изучение киберпреступлений, финансовых нарушений и санкций. Кандидат должен обладать навыками написания отчетов, разбираться в блокчейн-технологиях, проводить расследования и работать с разведывательными данными о угрозах. Важны умения в области искусственного интеллекта, анализа данных и исследовательской деятельности, а также опыт работы с агентскими рабочими процессами. Предлагается удаленная работа с зарплатой в диапазоне от 160 000 до 180 000 долларов в год.

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.

Задачи: — строить и оптимизировать масштабируемые системы обучения с подкреплением, конвейеры, инфраструктуру наблюдаемости и оценки. Требования: — опыт работы с reinforcement learning, machine learning. — знание Jax, Kubernetes, Grafana, Prometheus, Slurm, PyTorch, OpenTelemetry. Условия: — работа в офисе в Сан-Франциско, Калифорния. — зарплата $425,000 - $475,000 в год.

Location: Kyiv, Ukraine Join our global team as a (Senior) Clinical Research Associate (CRA) in Ukraine. Clinical Research Associate (CRA) is responsible for coordinating and overseeing the execution of studies and clinical trials at investigational sites. Role is combined with office and home-based in Kyiv, Ukraine. CV needs to be submitted in English language Responsibilities: Study site monitoring and management (site selection, initiation, monitoring and close-out visits) Perform feasibilities and support start-up phase Create and maintain required study documentation (site management, monitoring, etc.) Ensure that clinical trials are conducted according to requirements (protocol, ICH-GCP, etc.) Administer protocol and related study training to assigned sites Perform regulatory document review and submission to regulatory authorities Prepare clinical trial documents and store, archive correspondence Negotiate study budgets with potential investigators/sites, assist in agreements Provide monitoring visits and site management Requirements University degree in Life Science field Fluent English and local language Independent monitoring experience as a CRA In depth therapeutic and protocol knowledge Deep knowledge in clinical research regulatory requirements (GCP and ICH) Excellent skills in MS Office, EDC and other clinical trial related systems and platforms Attention to detail and time-management skills Benefits Professional growth and career opportunities International team and environment Personal accident and business trip insurance Additional health insurance Hybrid mode of work Complimentary health and wellness benefits Rewarding referral policy Workplace establishment allowance (fully remote) Team building and global meetings