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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 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.

About the Client: Our client is involved in an innovative data-collection project, which focuses on creating video datasets for training AI models. These AI models are designed to learn from first-person (POV) video footage. The captured videos depict real people involved in hands-on tasks with a mounted phone on their head or chest, paired with spoken narration. The purpose is to enable the model to connect visual inputs (objects, hands, actions) with audio descriptions. Sub-areas for the videos include: Home & Daily Tasks: cleaning, laundry (sorting, folding), organizing a closet, house tours, pet care, packing luggage, loading appliances / dishwashing. Repairs & DIY: home repair, gardening / farming, furniture assembly, woodworking, plumbing, electrical work, bicycle maintenance, soldering electronics. Textile & Craft Arts: sewing, knitting, crocheting, using a loom, leathercrafting, bookbinding, crafting jewelry, pottery / ceramics. Professional Trades & Industrial: automotive repair / maintenance, warehousing / logistics, construction / woodworking, laboratory work, operating heavy machinery controls, assembly-line packaging. Hobbies & Arts: art – drawing, ceramics, painting, playing instruments, model building, outdoor survival / camping, calligraphy. Technology & Computing: using computers or devices (e.g. audio mixers), gaming, product demos, VR / AR interaction, 3D printer setup / maintenance. Outdoors & Activity: city tours, shopping, navigating public transit. Personal Care: haircut, applying makeup, detailed grooming routines. Specialized & Professional: medical procedures, first aid training, professional barista workflows, culinary chef / knife work, lab protocols (pipetting, titrations). About the Role - Narrator: Watches the POV video and describes the scene and task in first person, in English, as if explaining it to a model that can't see. Fluency and describing ability matter most; knowing the activity is not required. Deliverable: — audio narration synced to the video, recorded after the footage. Language: — English; fluency is criterion #1. Density: — at least 25 words/min on average, no long silences. Content: — 90%+ about the setting or task steps. Required Skills: — English fluency. — Ability to narrate pre-recorded videos. — All details on the Acceptance Criteria will be shared prior to the work. Rules: — No personal data on video — third-party faces, screens, documents, plates, addresses, mirror reflections. — 100% human narration — no TTS or synthetic voice. Engagement Details: Compensation model: Hourly paid, considering the total number of hours for approved videos. Commitment Type: Flexible hours based on video submissions. Duration: Ongoing, with earnings based on the number of approved videos. Location: Remote, with flexible overlap with client's timezone. Start Date: Immediate start upon approval of test video.

Задачи: — Проектировать сервисы и взаимодействия между ними для non-custody карточного продукта. — Прорабатывать требования, системные flow, API и интеграции. — Находить технические ограничения и обсуждать решения с разработкой. — Вести фичи от бизнес-запроса до запуска, участвовать в коммуникации с партнёрами. Требования: — Senior-уровень: самостоятельность, ответственность за решения и опыт доведения задач до прода. — Практический Web3/on-chain опыт: смарт-контракты, кошельки, движение средств в блокчейне. — Опыт проектирования сервисов, понимание sync/async-взаимодействий и обработки сбоев. — Умение самостоятельно разбираться в API, коде и логах. — Использование AI с проверкой результата и понятной документацией. — Русский и английский от B2 — обязательны. Будет плюсом: опыт non-custody криптокарт, карточного процессинга, KYC/Sumsub и запуска партнёрских интеграций. Условия: — Полностью удалённо. — Небольшая команда, прямое взаимодействие с CTO и Product Owner, собственная зона ответственности с первых задач. — Быть на связи нужно с 10:00 до 16:00 по Кипру.

Задачи: — Строить AI-first продукт и определять его техническое будущее — Проектировать, разрабатывать и развивать API для ключевых health management функций продукта — Работать с интеграциями, payments, -office и другими ключевыми частями системы — Быть частью сильной амбициозной команды с высоким уровнем автономии, ответственности и скорости Требования: — Senior-уровень в backend-разработке на Python — Сильный опыт разработки production-ready backend-систем и API — Уверенный разговорный английский Условия: — Релокационный пакет для сотрудников и их семей (в Дубай)

Задачи: — Самостоятельное развертывание кластера Kubernetes с нуля — Подготовка инфраструктуры для офлайн развертывания — Внедрение решений у внешних заказчиков — Настройка нод с GPU Требования: — Опыт работы DevOps от 4 лет — Практический production-опыт с Kubernetes — Уверенный Kubespray — самостоятельное развертывание кластера с нуля и понимание его архитектуры — Опыт работы в закрытых контурах без доступа к интернету — Уверенное знание Linux, Ansible, Terraform, Docker / Container Registry — Опыт работы KubeRay Operator, NVIDIA Device Plugin — Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK — Умение настраивать ноды с GPU — Опыт внедрения решений у внешних заказчиков — Опыт с VK Cloud, OpenStack будет плюсом Условия: — full-time — Контракт с ИП — Только для граждан РФ

Задачи: — контролировать качество AI-генераций и готовых роликов; — давать обратную связь AI-артистам; — разбирать ТЗ и планировать необходимые шоты; — поддерживать консистентность персонажей, окружения и стиля; — на старте самостоятельно создавать ролики полного цикла; — разрабатывать и внедрять production-пайплайны; — обучать команду; — сокращать количество итераций и время производства. Требования: — глубокий практический опыт AI-video production; — Kling, Seedance, Veo или аналогичные модели; — генерация и редактирование изображений; — prompt engineering; — сильное монтажное мышление; — Premiere Pro, DaVinci Resolve или аналог; — понимание motion design и compositing; — опыт управления или обучения команды. ComfyUI, LoRA, open-source модели и создание воспроизводимых AI-workflows будут большим преимуществом. Условия: — полностью удалённая работа; — full-time; — оформление в штат; — 1 200–1 500 € с перспективой роста; — график 5/2 с гибким началом дня; — 20 рабочих дней оплачиваемого отпуска; — 3 оплачиваемых sick days.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an experienced researcher for our Rapid Research program. We're product builders who bring research expertise to the team, working closely with designers, product managers, and engineers to clarify problems, test ideas, and recommend what to change—often in one- to two-week sprints. You'll rotate across product areas, ramp up quickly, and build relationships as you go, energized by unfamiliar products and ambiguous problems and ready to take initiative rather than wait for a fully scoped brief. You bring strong opinions about what makes a great experience, grounded in the needs of the people using it, spot connections across product areas, and combine deep qualitative and quantitative research expertise with a flexible, resourceful approach to moving quickly without sacrificing rigor. Beyond individual studies, you bring a clear point of view on what to build or change, tailor your communication to your audience, and are willing to challenge assumptions and say the hard thing with care—asking for help when you need it and offering it when others do. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Scope and run focused research in quick sprints, using sound methods to answer the questions most likely to change a product decision Turn findings into specific recommendations a designer or PM can act on, working through tradeoffs and helping the team put them into practice Present product recommendations to cross-functional teams and senior leadership, telling the story behind the data, not just reporting insights Rotate across product areas and teams as needed, building credibility and relationships quickly without being embedded long-term Contribute beyond research studies by using our products, joining design reviews, and helping teams recognize when they have enough information to act Bring clarity to ambiguous problems, challenge assumptions, and adjust the scope or approach as you learn Experiment with tools, templates, and workflows to make research faster and sharper We'd love to hear from you if you have: 7+ years of experience in research at high-growth product organizations, UX/design agencies, or strategic consultancies focused on digital experiences Proficiency in mixed methods research, including qualitative approaches such as interviews and quantitative approaches such as surveys and data analysis Strong product judgment, with examples of specific recommendations you made and how they shaped the product, backed by strong communication and storytelling skills with a track record of securing executive buy-in Experience ramping up quickly on new projects and delivering clear recommendations in one- to two-week research sprints, turning ambiguous problems into clear questions and a practical path forward A scrappy, flexible approach, adapting to changing priorities and tight timelines while maintaining sound research methods, including active use of AI tools to improve speed, quality, or scale While it's not required, it's an added plus if you also have: Proficiency in designing and prototyping, ideally within the Figma suite of tools Familiarity with researching design tools, developer tools, creative software, or other products people use to build things A background in product design, product management, or engineering Ability to combine product analytics with qualitative research to inform recommendations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $250,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Задачи: — Развитие платформы: работать над функционалом, стабильностью и производительностью. — Развивать AI-функционал: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики. — Разбираться со сложными production-инцидентами и устранять не только последствия, но и причины проблем. — Клиентские внедрения: превращать пожелания клиента в дорожную карту запуска. — Проектировать архитектуру интеграции Sance.AI с инфраструктурой клиента. — Отвечать за техническую часть сложных клиентских запусков — от discovery до production. — Команда и инженерные практики: менторить junior/middle-разработчиков, помогать с декомпозицией задач, архитектурой и сложными техническими вопросами. — Проводить code review и повышать качество решений команды. Требования: — От 4 лет коммерческого опыта в разработке, от 1 года опыта в продуктовой команде. — Уверенные знания в asyncio, очередях, кешировании, конкурентности. — Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT. — Опыт с OpenAI API или другими LLM API. — Знания prompt engineering, tool calling, RAG, caching и context management. — Опыт с embeddings, vector search и agentic workflows. — Опыт тестирования и evals. — Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries и observability. — Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами. — Умение разбираться в документации. — Опыт интеграций с CRM — особенно amoCRM и/или Bitrix24. — Умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти. — Будет плюсом опыт B2B/Enterprise-внедрений, highload и event-driven систем. — Собственные AI-проекты и опыт работы в стартапах. Условия: — Работа в быстрорастущем AI-стартапе, влияние на продукт, архитектуру и процессы. — Разнообразные задачи, крупные клиенты и короткий путь от идеи до production. — Быстрый карьерный рост.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities - Platform — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Задачи: — Разрабатывать компоненты платформы целиком — Собирать требования, строить модели данных и описывать методики расчётов — Общаться напрямую с конечными пользователями — Проектировать архитектуру и защищать свои решения — Глубоко применять Claude Code и Cursor как agentic-инструменты, а не просто чат — Проводить ревью, технические обсуждения и развивать инженерную культуру Требования: — 5+ лет коммерческой разработки сложных DWH/BI-систем — Уверенные навыки: C#, .NET, ASP.NET, Angular, AI-инструменты — Реальный опыт работы с Claude Code: настройка CLAUDE.md, структурированные промпты, анализ кодовой базы, генерация production-ready кода, рефакторинг, тесты, pull requests и аудит безопасности — Понимание ограничений LLM и умение выстраивать безопасный HITL процесс Условия: — Формат работы: удаленно, РФ, московский часовой пояс — ЗП: готовы обсудить пожелания — Корпоративные подписки на AI-инструменты

Требования (обязательно): — опыт работы DevOps от 4 лет — практический production-опыт с Kubernetes — уверенный Kubespray — самостоятельное развертывание кластера с нуля и понимание его архитектуры — опыт работы в закрытых контурах без доступа к интернету — умение самостоятельно готовить инфраструктуру для офлайн развертывания — уверенное знание Linux, Ansible, Terraform, Docker / Container Registry — опыт работы KubeRay Operator, NVIDIA Device Plugin — Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK — умение настраивать ноды с GPU — опыт внедрения решений у внешних заказчиков — опыт с VK Cloud, OpenStack будет плюсом

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team Customer Experience ensures that when there are bumps in the last mile, there's always someone there to help make things right. Our team designs and implements automated support solutions, with the ultimate goal of delivering an outstanding customer experience as reliably and efficiently as possible. About the Role Our team is looking to hire a Manager to lead the expansion of support automation in international markets. This Manager will own the end-to-end strategy and implementation of automated support features across new markets — leveraging DoorDash's extensive automation expertise to drive measurable automated resolution rate while building a scalable foundation for ongoing global expansion. This Manager will serve as the Strategy and Operations (S&O) Expansion Program Lead: the central DRI for developing international automation rollout plans, owning reporting for North Star metric, and working closely with cross-functional partners across Product, Engineering, Analytics, and country teams. This role is a great opportunity for someone who wants to operationalize complex, multi-market solutions and have a direct impact on global support strategy. You're excited about this opportunity because you will… Lead strategy. Define and drive support automation expansion strategy for international markets: determining use cases, prioritization frameworks, and the approach to scaling automations across countries in a repeatable, compliant, and operationally efficient way. Own the metric. Own the goal end-to-end, tracking progress weekly, identifying gaps, and driving corrective action across the cross-functional team. Build the foundation. Build a strong foundation partnering with Product and Engineering to enable feature parity and market customization, and creating the playbook for scaling across new use cases and automation channels. Enable experimentation. Partner with Analytics to design, launch, and evaluate experiments that measure impact and drive ship decisions in alignment with stakeholders. Navigate cross-functional complexity. Identify and manage interdependencies with Product, Engineering, Analytics, Legal, and country leads — ensuring automation strategy is built in alignment with local market requirements, regulatory constraints, and broader business priorities. Communicate and influence. Represent the automation expansion program in weekly business reviews and executive forums, clearly articulating progress, risks, and decisions needed from senior leadership. We're excited about you because… You're organized. You thrive in creating structure out of ambiguity — defining clear ownership, milestones, and processes in a complex, multi-team environment. You solve problems from first principles. You're excited to tackle challenges in new markets and resist "this is how it's always been done" thinking. You're analytical. You let data win arguments, and you're comfortable pulling your own data in SQL or modeling in Excel to size opportunity, track performance, and inform decisions. You're persuasive. You are an effective communicator — speaking as if you're right and listening as if you're wrong. You can influence across DRIs at all levels, from country leads to senior leadership. You act with urgency. Speed excites you. You move quickly, make decisions with imperfect information, and hold teams accountable to timelines. You're relentless. You do what it takes to drive outcomes, no matter how many teams or time zones are involved. You have 5+ years of experience in strategy, operations, management consulting, or a related field — and have successfully delivered results in complex, cross-functional environments. Experience in support strategy, automation, or international expansion is a plus. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bratislava, Slovakia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What You’ll Do Onboard and manage clients to ensure successful Google Ads campaign setups. Develop smart, tailored PPC strategies to help clients achieve their business goals. Continuously optimize campaigns for maximum performance and ROI. Act as a trusted Google Ads consultant, advising on best practices, targeting, budget, and campaign design. Monitor and analyze campaign performance, providing regular, actionable reports. Identify new growth opportunities within client accounts and recommend additional products and services. Collaborate closely with sales, support, and cross-functional teams to ensure a seamless client experience. Stay ahead of market trends, Google Ads updates, and digital innovations. What You Need For This Role Experience managing Google Ads campaigns and working with digital performance agencies. Solid understanding of Google Analytics (GTM experience is a plus). Strong communication and relationship-building skills. Analytical mindset with the ability to work independently. Fluency in English and Slovak is preferred. What Will Make Us Really Love You You’re detail-oriented, proactive, and solution-focused. You have a positive, growth-driven attitude and love taking on new challenges. You’re comfortable managing multiple projects and can prioritize effectively. You’re skilled at client communication and campaign consultation. You have a track record of proactively searching for new leads and growth opportunities. Why You’ll Love About Us Freedom to create, grow, and make an impact. A supportive, dynamic team with an international culture. Fast-paced industry with global exposure and learning opportunities. Access to world-class digital advertising workshops and training. Flexible work model: in-office, hybrid, or remote (depending on your situation). Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

We are looking for an experienced Marketing Analyst to support and scale our marketing analytics capabilities. In this role, you will partner closely with Marketing, Product, and Data teams to measure performance, uncover growth opportunities, and drive data-informed decision-making across digital channels.