Задачи:
— Генерировать реалистичные фоны, модели и сцены для товаров с помощью ИИ (Midjourney, Stable Diffusion, Flux и др.)
— Создавать продающую инфографику и визуалы карточек для Wildberries, Ozon и Яндекс Маркета
Требования:
— ПК или ноутбук и стабильный интернет
— Навык работы с генераторами изображений (Midjourney / SD / DALL-E / Flux)
Задачи:
— писать сценарии коротких вертикальных роликов на английском;
— цеплять аудиторию с первых секунд и удерживать внимание до конца;
— писать живым языком со сленгом, без ощущения AI-текста;
— работать по темам и позиционированию клиента.
Требования:
— опыт работы именно на англоязычном рынке;
— подтверждённые результаты: ролики по вашим сценариям с миллионами просмотров;
— свободный английский;
— соблюдение сроков и оперативная коммуникация.
Условия:
— удалённая работа;
— постоянный объём;
— оплата за каждый сценарий;
— ставка обсуждается индивидуально.
Работа в компании Manychat, которая является ведущей платформой для создания чат-ботов и маркетинговой автоматизации в мессенджерах.
Формат работы: удалённый.
Занятость: частичная (минимум 20 часов в неделю).
УдалённоГеография найма не уточнена
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Обязанности:
— Разработка нового функционала на React и доработка уже существующего под руководством ментора
— Работа в команде с ментором, участие в обсуждении задач, написание кода, покрытие функционала тестами
— Заниматься саморазвитием и повышать свой технический опыт
Требования:
— Знание JavaScript
— Начальные знания по React
— Знание HTML5+CSS3, SASS/LESS
Приветствуется:
— Опыт работы с Redux, TypeScript
— Знание протокола HTTP, REST
— Опыт взаимодействия с WEB API
— Опыт работы с различными UI библиотеками (Bootstrap, Material UI, Ant Design)
— Опыт написания тестов Unit, E2E
— Git / GitHub
Условия:
— Работа в удаленном формате
— 8 часовой рабочий день
— Обучение недостающим навыкам под руководством опытного наставника
— Оплата по результатам собеседования
General Information
Location: Remote.
Talents from the USA or Canada.
French/English bilingual candidates are preferred for the Montreal hub.
Overlap: 6hs with East Coast time zone, USA
Commitment: full-time
Length: 12+ month
Required Skills:
— 6–10 years of Salesforce administration and development experience with platform ownership responsibilities
— Expert-level Salesforce Flow experience
— Solid hands-on experience with Apex and Lightning Web Components (LWC)
— Experience with Salesforce Experience Cloud and Service Cloud
— Strong Salesforce release management experience
— Experience with CI/CD for Salesforce environments
— Strong knowledge of Salesforce security, sharing, permissions, and platform governance
— Experience defining and enforcing coding and configuration standards through hands-on pull request reviews
— Experience managing production Salesforce environments, including releases, sandbox strategy, backup, and recovery
— Experience designing reusable Flow, LWC, and integration patterns for development teams
— Experience leading or supporting P1 production incident response
— Hands-on experience using AI coding copilots and agents in Salesforce development workflows
— Experience with Salesforce metadata automation, test generation, org discovery, and AI-assisted pull request review
— Ability to validate AI-generated code and automation before production deployment
Optional Skills (not mandatory):
— French and English bilingual proficiency
— Salesforce Administrator certification
— Salesforce Platform App Builder certification
— Salesforce Platform Developer certification
— Bachelor’s degree or equivalent experience
Deliverables:
— Own the Salesforce production environment, including releases, security, sandbox strategy, backup, and recovery
— Define Salesforce coding and configuration standards and participate directly in pull request reviews
— Build reusable reference patterns for Salesforce Flow, LWC, and integrations
— Lead P1 incident response, including triage, remediation, and pairing with engineers on fixes
— Drive a release cadence of two weeks or less in collaboration with QA and product stakeholders
— Allocate and manage ongoing technical-debt capacity, targeting approximately 10–30% of engineering capacity
— Own the AI-assisted Salesforce development toolchain, including coding copilots, test generation, org discovery agents, and pull request pre-review
— Measure developer effective capacity when using AI-assisted workflows and identify friction caused by manual delivery processes
— Automate operational runbooks and release-note generation while maintaining human approval for production-risk decisions
— Use AI copilots and agents daily to accelerate discovery, development, testing, and documentation while remaining accountable for production decisions
Задачи:
— прозванивать и квалифицировать лиды, поступающие из отдела маркетинга;
— звонки по скрипту по готовой базе клиентов (без поиска, процесс звонков автоматизирован);
— фильтрация клиентов по бюджету и другим параметрам;
— консультирование по услугам компании;
— ведение отчетности в CRM-системе.
Требования:
— активность, ответственность, нацеленность на результат;
— опыт работы от полугода;
— четкая речь без дефектов;
— уверенный пользователь ПК;
— понимание принципов работы по скриптам;
— знание любой CRM.
Условия:
— вознаграждение до 80 000 руб. (базовое от 40 000 руб. + мотивационная часть);
— удаленная работа из любой точки по московскому часовому поясу;
— дополнительные выплаты согласно условиям сотрудничества;
— оплачиваемое обучение и введение в продукт и процессы;
— график 5 дней в неделю, ориентировочно с 09:00 до 18:00 по МСК;
— предоставление корпоративной связи для взаимодействия по проекту;
— прямое взаимодействие с руководителем.
УдалённоНовосибирск; Из любой точки земли по московскому часовому поясу
Задачи:
— Разработка клиентской части слот-игр на Pixi.js/TypeScript: сцены, состояния, UI, анимации, эффекты, переходы.
— Реализация игровых механик: барабаны/reels, линии/ways, каскады, sticky, respin, hold&win, бонусные раунды (в зависимости от проекта).
— Интеграция с игровым API: ставки, спины, результаты, бонусы, автоспин, история, восстановление сессии.
— Организация пайплайна ассетов: атласы (TexturePacker), шрифты, preloading, управление памятью, версии ресурсов.
— Оптимизация производительности (FPS/память), профилирование, устранение утечек, стабильность на iOS/Android браузерах.
— Поддержка общего ядра/фреймворка: переиспользуемые модули, конфигурируемость, документация, код-ревью.
Требования:
— Уверенный JavaScript/TypeScript, опыт разработки игр или высоконагруженных интерактивных Web-приложений.
— Практический опыт Pixi.js: контейнеры, спрайты, текст, маски, фильтры, взаимодействие, менеджмент текстур.
— Понимание игрового цикла (update/render), событийной модели, таймингов и анимаций.
— Опыт сборки и доставки: Vite/Webpack, Git, базовая дисциплина CI/CD (на уровне проекта).
— Архитектура и игровые паттерны (обязательно).
— Уверенное применение: Service Locator / DI, Command, State, State Machine, pub/sub.
— Понимание и опыт ECS: разделение данных и логики, системы как обработчики, управляемый update.
— Практика MVVM и реактивности: биндинги UI к модели состояния, однонаправленный поток данных, предсказуемые сайд-эффекты.
— Проектирование расширяемой архитектуры: модульность, переиспользуемые компоненты, контроль зависимостей, тестируемость.
Будет плюсом:
— Spine/DragonBones, Particles, Shader/filters, WebAudio.
— Опыт со слот-математикой и форматами серверных ответов провайдера.
— Поддержка нескольких аспектов/ориентаций, локализация, CDN-кеширование ассетов.
— Опыт написания внутреннего SDK/движка и сопровождения набора игр.
Ключевые технологии: Pixi.js, TypeScript, Vite/Webpack, ECS/MVVM, State Machine, Command, Service Locator/DI (Spine — опционально).
Условия:
— Удалённый формат работы (WW, кроме РФ).
— Работа над новыми проектами с нуля.
— Минимум бюрократии и возможность влиять на итоговый облик игр.
Задачи:
— выявление целевой аудитории и способы её достижения через таргет и Яндекс Директ
— работа с новым рекламным кабинетом ВКонтакте и Яндекс Директ
— создание креативов, текстов, кампаний, их ведение, оптимизация и масштабирование
— выполнение связанных маркетинговых задач
Требования:
— опыт запуска нескольких кампаний в ВК и Яндекс Директ от 2-3 проектов
— подтвержденные кейсы
— быть на связи с понедельника по пятницу с 9 до 18 часов, без совмещения
— начинающий или middle специалист
— знание Telegram Ads или Avito Ads будет плюсом
— навыки менеджера будут плюсом
Условия:
— на старте оплата 10-18 тыс. рублей за проект, в зависимости от опыта и проекта
— средняя зарплата 70-120 тыс. рублей, обычно у каждого специалиста 7-8 проектов
— обучение, доступ к курсам, консультации, клубы, шаблоны креативов и текстов
— все проекты ведутся в таск-трекере, структурированно и с планированием
— отпуск, без работы по выходным и без авралов
— равномерное планирование нагрузки
Планируется рост до проджекта или продажника с увеличением зарплаты до 120-150 тыс. рублей.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future.
WHAT YOU’LL DO
- Lead design projects, including new features and improvements to our mobile and web platforms
- Produce, iterate, and prototype concepts for creative workflows
- Collaborate closely with the engineering and product teams to suggest product and process improvements
- Contribute to maintaining visual and user experience consistency across our products
WHAT YOU’LL NEED
- Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills
- Understanding of modern web technologies, web interactions, and usability standards
- Experience delivering and iterating fast in close collaboration with engineering, product, and data teams
- Ability and flexibility to iterate fast and often
- Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know
- Knowledge and understanding of the creative tool space
- Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.)
- At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.)
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Задачи:
— проектировать новые экраны и пользовательские сценарии;
— улучшать UX существующих разделов;
— дорабатывать desktop- и mobile-версии;
— поддерживать порядок и единообразие компонентов в Figma;
— развивать дизайн-систему;
— продумывать состояния интерфейсов: ошибки, пустые состояния, модальные окна, формы и т.д.;
— передавать макеты разработчикам и при необходимости обсуждать реализацию;
— анализировать обратную связь пользователей и предлагать улучшения.
Требования:
— уверенное владение Figma;
— опыт проектирования веб-интерфейсов;
— понимание UX, адаптивного дизайна, компонентов и дизайн-систем;
— умение самостоятельно разбираться в задаче и предлагать решения, а не ждать полностью готового ТЗ на каждый экран.
Условия:
— удалённая работа, part-time, ориентировочно 8–12 часов в неделю;
— работа напрямую с основателем и разработчиками продукта;
— оплата 50 000-70 000 ₽ в месяц, в зависимости от опыта и согласованного объёма работы.
Location: Vilnius
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Poland
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Serbia
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Romania
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Bulgaria
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Portugal; France
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Spain
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.