Задачи:
— Техническое обслуживание и устранение неполадок роботизированных сборочных систем.
— Обеспечение бесперебойной работы оборудования.
— Поддержка клиентов и удалённых технических специалистов.
Требования:
— Знания и опыт работы с механикой, электромеханикой и программированием.
— Опыт работы с системами Beckhoff, Fanuc, PLC.
— Навыки работы с SolidWorks, Zebra, принтерами, системами Vision, Cognex, Matrox.
— Опыт анализа данных и работы с системами автоматизации Hermes.
Условия:
— Работа в офисе в городе Корк, Ирландия.
— Годовая зарплата от 75,000 до 80,000 долларов США.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP believes in the power of humans to transform how they feel, perform and age; we serve the aspiring.
WHOOP is hiring a Senior Business Operations Program Manager to join the Business Operations team within our broader Operations organization. This role sits at the intersection of operational strategy and program management, leading high-priority cross functional workstreams initiatives from planning through to execution. You will partner closely with stakeholders across Supply Chain, Manufacturing, Hardware, Quality, Membership Services, and Business Systems to solve operational challenges and deliver measurable business impact. This role is ideal for someone who thrives in fast-paced environments, brings structure to ambiguity, and is motivated by delivering high-quality execution.
Example initiatives include: Developing operational strategies for new product launches, enabling international market expansion, evaluating new business models and their operational implications, and building scalable processes to support organizational growth
RESPONSIBILITIES
- Lead strategic operational initiatives from problem definition through execution, developing recommendations, aligning stakeholders, and driving measurable outcomes.
- Partner with stakeholders across Supply Chain, Manufacturing, Hardware, Quality, Membership Services, and Business Systems to coordinate initiative execution and improve operational performance.
- Build and maintain project plans, operating cadences, status reporting, and documentation that enable teams to execute effectively.
- Structure ambiguous business problems, analyze data, and evaluate strategic trade-offs to develop actionable recommendations and scalable operational solutions
- Identify execution risks early, develop mitigation plans, and independently drive issues to resolution with minimal guidance.
QUALIFICATIONS
- 5+ years of experience in business operations, strategic program management, management consulting, or operational strategy, ideally within a high-growth technology or consumer electronics company.
- Experience supporting manufacturing or consumer electronics operations is preferred.
- Proficient in Excel/Google Sheets, Google Slides, Slack, Smartsheets, and other similar project management tools.
- Proven ability to independently own and deliver complex projects or workstreams from planning through execution with strong attention to detail.
- Demonstrated success managing multiple cross- functional priorities simultaneously while maintaining high-quality execution in a fast-paced environment.
- Demonstrated ability to independently structure ambiguous problems, develop data-driven recommendations, and translate strategic decisions into actionable cross-functional plans.
- Excellent organizational and project management skills, with a proactive approach to identifying risks, communicating progress, and driving accountability.
- Effective communicator who collaborates well across functions and builds trusted working relationships through reliability, ownership, and follow-through.
- High degree of ownership, adaptability, and urgency—ready to roll up your sleeves and make things happen
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $115,000 - $150,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Компания ищет продюсера или менеджера по работе с инфлюенсерами для работы в офисе в Москве на полный рабочий день. Кандидат должен иметь опыт от двух до трёх лет в роли продюсера, аккаунт-менеджера или менеджера по работе с инфлюенсерами, артистами либо партнёрами. В обязанности входит ведение проектов от этапа брифинга и переговоров до реализации и подготовки отчётности. Требуются навыки ведения переговоров, согласования коммерческих условий и сопровождения договорной документации. Также важен опыт взаимодействия с инфлюенсерами, артистами, их менеджментом и кросс-функциональными командами. Зарплата обсуждается по итогам собеседования и ориентировочно составляет от 160 000 до 230 000 рублей.
ОфисМосква
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data.
You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware.
RESPONSIBILITIES
- Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights.
- Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions.
- Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors.
- Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics.
- Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency.
- Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware.
- Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability.
- Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement.
QUALIFICATIONS
- 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization.
- Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management.
- Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes.
- Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics.
- Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners.
- Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development.
RESPONSIBILITIES:
- Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria
- Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc.
- Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation.
- Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements
- Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts.
- Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities
QUALIFICATIONS:
- Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience
- 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms
- Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc.
- Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems
- Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
PREFERRED QUALIFICATIONS:
- Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field.
- Experience with physiological sensing principles, understanding of the human circulation system and respiration system.
- Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.
Location: San Francisco; Palo Alto
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US.
What You Will Do
Lead Development (Strategic Outbound and Qualified Inbound):
• Conduct strategic outreach and manage warm introductions to potential enterprise customers.
• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.
Value Proposition Validation for Customers:
• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.
• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.
Deal Management & Closing:
• Develop and execute strategic sales plans to convert leads into valued customers.
• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.
• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.
Executive Engagement:
• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.
• Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.
Technical Aptitude:
• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.
• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.
• Collaborate with our technical team to address any customer inquiries or concerns.
Training and Enablement:
• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.
What We're Looking For
• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.
• Deep understanding of the US market dynamics and enterprise landscape.
• Experience of consultative selling of highly complex, technical products.
• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.
• Significant work experience within the AI ecosystem or related data/infrastructure field.
• Experience working at a successful, fast-growing startup, ideally in deep-tech.
• Strong technical skills to navigate quickly evolving products and steer technical discussions.
• Excellent written and verbal communication in English, and a bonus for French.
• Outstanding negotiation and communication skills to build relationships and close deals effectively.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Управлять командой из 4 человек (2 кампейн-менеджера и 2 аналитика)
— Планировать инициативы на месяц, квартал, год
— Реализовывать коммуникационный план на месяц от постановки ТЗ на маркетинг до проведения кампании и постановки задачи на аналитику
— Подводить и презентовывать итоги по результатам работы
— Ставить задачи на редакторов и дизайнеров, кампейн и аналитиков
— Работать с сегментацией и персонализацией
— Анализировать эффективность (конверсии, вовлеченность, retention)
— Проводить A/B тесты и внедрять улучшения
— Выстраивать эффективное взаимодействие с продуктом, кампейном, аналитиками и маркетингом
Требования:
— Глубокие знания в области CRM-маркетинга
— Стратегическое мышление: умение планировать среднесрочные и долгосрочные инициативы для развития продукта
— Опыт работы с триггерными коммуникациями и сегментацией
— Развитые аналитические навыки, умение работать с воронкой продаж, знание основных метрик для оценки эффективности коммуникаций
— Опыт взаимодействия с кросс-функциональными командами
— Как плюс опыт работы с ML-моделями для повышения эффективности коммуникаций
— Опыт работы в Тревел отрасли как конкурентное преимущество
Условия:
— Стабильный прозрачный доход: заработная плата по итогам собеседования, премия по результатам работы
— График с 9:00 до 18:00, по пятницам сокращённый день
— Уютные офисы и коворкинги рядом с метро в Москве, Санкт-Петербурге и Екатеринбурге; сезонный коворкинг в Сочи и Красной Поляне
— ДМС со стоматологией и телемедициной, льготное страхование для близких, полис путешественника
— Бесплатный фитнес-зал A-Sport в офисах, сетка групповых занятий, турниры по киберспорту, теннису, футболу, волейболу, шахматам, корпоративные слоты на забегах
— Безлимитные онлайн-консультации психолога, фитнес-тренера, юриста, нутрициолога и других специалистов
— Карьерная траектория, менторство, курсы по ИИ, менеджменту, продукту и дизайну, доступ к внешнему обучению и конференциям
— Доступ к ИИ-платформе AlfaGen, нейросетям «в кармане сотрудника» - сервису Alfa AI, конструктору ИИ-агентов
— Мерч за вовлечённость, программа Приведи друга с выплатами без ограничений
— 60+ сообществ по интересам, проект Non-Random Coffee, премия Alfa Award лучшим сотрудникам и проектам
— Доступ к онлайн-библиотеке Alpina Digital, онлайн-курсам Синхронизация по искусству, кино, музыке и психологии
— Работа у трижды лучшего работодателя РФ по версии hh.ru, Forbes, РБК
— Программа развития AI-грамотности: треки по работе с нейросетями от базового до продвинутого уровня
Задачи:
— Разрабатывать и поддерживать высоконагруженные сервисы на Go.
— Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов.
— Разрабатывать алгоритмы для обработки и анализа рыночных данных.
— Интегрироваться с внешними API, в том числе с частично документированными или undocumented API.
— Работать с web-источниками и извлекать данные из неструктурированной и частично структурированной информации.
— Проектировать и реализовывать распределённые механизмы взаимодействия между сервисами.
— Автоматизировать процессы, связанные с торговыми и рыночными системами.
— Оптимизировать решения с точки зрения производительности, надёжности и масштабируемости.
— Взаимодействовать с quantitative analysts и другими разработчиками: переводить аналитические идеи и гипотезы в работающие production-решения.
— Самостоятельно разбираться в open-ended задачах, где не всегда есть готовое техническое решение или подробное ТЗ.
Требования:
— Коммерческий опыт разработки, включая существенный опыт с Go.
— Уровень — Senior или сильный Middle, который способен самостоятельно решать сложные инженерные задачи.
— Хорошее понимание принципов software engineering, архитектуры, масштабирования и оптимизации производительности.
— Умение работать с API и данными, в том числе когда документация неполная или отсутствует.
— Способность обрабатывать и парсить частично структурированную информацию.
— Сильные аналитические навыки и умение самостоятельно искать решение проблемы.
— Готовность работать с задачами без пошаговой инструкции и брать ответственность за результат.
— Опыт в fintech, trading, market data, quantitative development — большой плюс, но не является обязательным требованием.
Условия:
— Полностью официальная белая зарплата.
— Работа из современного офиса в Лимассоле, район Гермасойя, Колонакиу.
— Возможность начать удалённо, если кандидат находится не на Кипре.
— Возможность релокации на Кипр.
Релокационный пакет:
— Помощь с организацией переезда и финансовая поддержка.
— Компенсация авиабилетов.
— Компенсация билетов для семьи.
— 1 месяц проживания.
— Покрытие визовых расходов.
— Организация и сопровождение процесса релокации.
ОфисmiddleMIDDLE / SENIOR GO DEVELOPER | RELOCATION TO CYPRUS | FINTECH #relocation #cyprus #fulltime #itjob #backend #go https://teletype.in/@remoteit/hh6SH3rVSC0; RELOCATION TO CYPRUS | FINTECH Локация: Лимассол, Кипр — офис Формат: офис / на старте готовы рассматривать удалённый формат Язык коммуникации: русский Релокация: предоставляется О компании Мы - финтех-компания, которая разрабатывает технологические решения для т рейдинга, работы с финансовыми рынками и автоматизации рыночных процессов; Возможность релокации на Кипр; Релокационный пакет: Помогаем не только с организацией переезда, но и финансово: - компенсация авиабилетов; - компенсация билетов для семьи; - 1 месяц проживания; - покрытие визовых расходов; - организация и сопровождение процесса релокации
В обязанности входит подбор и редактирование текстов, анекдотов и афоризмов, а также проверка сканвордов, кроссвордов и головоломок. Необходимо работать с фотобанками для иллюстрирования сканвордов и обеспечивать сдачу газетных номеров в печать в установленные сроки, контролируя производственный график. Требуется высокая заинтересованность в сканвордах и кроссвордах, наличие высшего образования (предпочтительно в журналистике, русском языке или филологии), а также опыт работы редактором, корреспондентом или журналистом будет преимуществом. Важно уверенное владение компьютером и графическими программами, а также навыки работы с фотобанками. Рассматриваются кандидаты без опыта, но с желанием обучаться. Работа предполагается в офисе в Нижнем Новгороде.
Задачи:
— Полный цикл создания дизайнов полиграфической продукции: POSM, журналы, брошюры, плакаты, сувенирная продукция.
— Создание рекламных и веб-макетов, дизайнов для социальных сетей.
— Оформление презентаций любого уровня сложности.
— Самостоятельная работа с подрядчиками по изготовлению полиграфических материалов: поиск и подбор, сметирование, заказ и контроль исполнения.
— Доработка гайдлайна и контроль соблюдения брендбука на всех носителях и во всех коммуникациях компании.
— Работа с брифами: составление, брифование заказчика, верификация результата на соответствие ТЗ.
Требования:
— Опыт работы в графическом/бренд-дизайне от 3-х лет.
— Продвинутый уровень владения: Figma, Adobe Illustrator, Photoshop, InDesign.
— Уверенное использование генеративных нейросетей (Midjourney, Stable Diffusion и др.) в рабочем процессе.
— Понимание основ маркетинга и стратегии развития продукта.
— Понимание современных трендов дизайна, регулярное чтение профессиональных материалов.
— Умение работать с брифом и внутренними заказчиками.
— Желаемый опыт работы: от 3-х лет.
— Обязательно наличие портфолио.
Условия:
— Офис, Москва.
В процессе работы предстоит освоить (зона роста):
- Motion-дизайн.
- Дизайн интерьеров.
- Анализ дизайна конкурентов, бенчмаркинг.
- Базовый веб-дизайн и вёрстка.
Задачи:
— Разработка и развитие frontend-приложений на стеке Vue 2 / Vue 3 и Quasar Framework.
— Поддержка и развитие существующих SPA-приложений, включая legacy-решения.
— Разработка и доработка UI-компонентов в соответствии с дизайн-макетами и внутренними стандартами проекта.
— Интеграция frontend-приложений с backend API с использованием Axios.
— Реализация и сопровождение state management решений на Vuex и Pinia.
— Участие в проектировании архитектуры frontend-приложений и декомпозиции задач.
— Проведение code review и участие в выработке единых подходов к разработке.
— Рефакторинг и оптимизация существующего кода, повышение производительности и стабильности приложений.
— Написание unit/integration тестов (при наличии соответствующих задач на проекте).
— Работа в составе agile-команды по scrum-процессу с регулярными спринтами, планированием и демонстрацией результатов разработки.
Требования:
— Опыт работы с JavaScript, TypeScript, HTML, CSS.
— Опыт разработки на Vue 2 и Vue 3.
— Знание Quasar Framework.
— Опыт работы с Vuex и Pinia.
— Опыт интеграции с backend API через Axios.
— Навыки работы с Git.
Условия:
— Оформление по договору ИП или ГПХ.
— Работа в офисе в Москве.
— Почасовая оплата 1600-1800 рублей.
Location: London
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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: Amsterdam
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.
What you will do
- You’ll individually help deploy into production use cases with a considerable business impact across various industries.
- You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
- You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
- Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
- You have experience with deep learning with Pytorch
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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:
— С первого дня развивать текущие игры: отслеживать CCU, retention, конверсию и ARPDAU, управлять обновлениями и live ops.
— Продюсировать новые игры от прототипа до релиза и дальнейшего роста.
— Развивать AI-пайплайн: Roblox Studio, MCP, агенты для Luau, генерация контента и автоматизация QA.
— Управлять игровой экономикой, монетизацией и аналитикой.
— Координировать команду, быстро тестировать гипотезы и превращать успешные подходы в повторяемый процесс.
Требования:
— Инициатива — ключевое требование. Не ждать задач: самостоятельно находить проблемы, предлагать решения и доводить их до результата.
— Опыт выпуска Roblox-игр или live mobile/casual-игр с измеримыми результатами.
— Отличное понимание игровой экономики и live ops: retention, прогрессия, монетизация и баланс.
— Умение читать Luau, работать с Roblox Studio, API и данными.
— Использование LLM и агентов в работе, умение держать фокус команды и сроки.
Условия:
— Работа напрямую с фаундером.
— Свобода в выборе стека и игрового roadmap.
— Бюджет на инструменты, API и вычисления.
Location: London
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.
What you will do
- You’ll individually help deploy into production use cases with a considerable business impact across various industries.
- You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
- You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
- Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
- You have experience with deep learning with Pytorch
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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:
— Разрабатывать и внедрять HR-стратегию
— Формировать организационную структуру и кадровый резерв
— Управлять наймом и развитием персонала
— Выстраивать процессы подбора, адаптации и оценки сотрудников
— Развивать корпоративную культуру
Условия:
— Официальное оформление
— График работы 5/2 с 10:00 до 18:30
— Современный офис в центре Москвы с панорамным видом
Задачи:
— разработка и создание макетов упаковки, этикеток, рекламных материалов и других визуальных элементов бренда, контроль своевременного размещения рекламных материалов;
— знание требований подготовки файлов к печати к типографии и контроль качества печати;
Требования:
— готовность работать в офисе в графике 5/2;
— опыт работы с графическим дизайном и рекламными материалами от 2 лет;
— свободное владение Adobe Creative Suite (Photoshop, Illustrator, InDesign), CorelDRAW, офисными программами;
— умение работать с типографиями и техническими требованиями к печати;
Условия:
— зарплата 100000-150000р на руки, оформление по ТК РФ с первого дня;
— график работы 5/2, полный день, в офисе;
— долгосрочная занятость в стабильной компании.
Задачи:
— Работать с потенциальными клиентами компании: выходить на контакт, выявлять интерес, презентовать услуги и доводить клиента до встречи.
Условия:
— Формат работы: офис, район Чистых прудов.
— График: 10:00–18:00 5/2 (возможно рассмотреть гибридный график при хороших показателях и пройденном обучении).
— Оплата: фиксированная часть плюс процент за клиентов, переведённых на встречу, процент от заключённых сделок, дополнительный доход с продажи услуг компании.
— Потолка по доходу нет: чем больше качественных встреч и продаж, тем выше заработок.
— Для работы предоставляются готовые скрипты, презентации, кейсы и инструменты для продаж.
— Можно параллельно взять несколько клиентов и дополнительно зарабатывать на работе с ними.
— Возможность карьерного роста: при сильных результатах можно перейти на позицию руководителя отдела продаж, собрать собственную команду и получать другой уровень дохода.
Требования:
— Умение разговаривать с бизнесом, не бояться собственников и желание расти вместе с компанией.
ОфисМосква
ОфисseniorBoston, MA
ОфисBoston, MA
ОфисSan Francisco; Palo Alto; 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
ОфисleadLondon; 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
ОфисAmsterdam; 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
ОфисLondon; 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