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Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions. You'll use your technical skills and your experience with government partners to help them understand frontier AI, test it, and apply it to their public missions with a high degree of reliability and safety. This role serves Anthropic's policy, mission, and public benefit goals. In collaboration with the Policy, Product, Research, and Engineering teams, you'll help partners develop strategies and plans to evaluate and adopt leading-edge AI systems. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests around the world, while maintaining our best-in-class safety standards. Responsibilities: Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions. Partner closely with the Policy team to understand each partner's goals and requirements. Develop demos, pilots, prototypes, and evaluation suites that show how Claude can support their public missions, such as cyber defense. Lead technical onboarding, enablement, and hands-on workshops for partner institutions, including national cybersecurity agencies. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API. Act as the voice of our international partners and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need. Travel internationally to partner institutions for senior leader meetings, technical enablement, and building relationships. Establish a shared vision for creating solutions that enable beneficial and safe AI. Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. You may be a good fit if you have: 4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, international organizations, or the public sector Experience in technology policy, AI safety, cybersecurity, or international affairs Designed novel and innovative solutions for technical platforms in a developing mission area Familiarity with how AI models are evaluated and tested for safety Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Understanding of and experience with LLM fundamentals The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Backend Software Engineer at Assistant Vice President level. You will design, build, and operate services that power the iCapital platform.You will collaborate with engineers, product managers, and technical partners throughout the development lifecycle. Our service-oriented platform primarily uses Scala, Ruby, and Python, but prior experience with these languages is not required. We value strong engineering fundamentals and the ability to learn new technologies. Responsibilities • Design, build, test, deploy, and maintain cloud-based services and APIs. • Translate product and business needs into practical technical solutions. • Own projects from design through production rollout and ongoing support. • Write maintainable code and contribute to technical design decisions. • Participate in code reviews and improve engineering standards. • Build testing, observability, security, and operational readiness into services. • Use AI-assisted development tools responsibly to improve delivery, investigation, and learning. Qualifications • 6+ years experience with a modern programming language such as Ruby, Scala, Python, Java, or TypeScript. • 4+ years experience building or integrating with APIs and backend services. • Knowledge of relational or NoSQL databases and data modeling. • Familiarity with automated testing, version control, and modern software delivery practices. • Understanding of cloud application development and distributed systems. • Strong problem-solving, collaboration, and communication skills. • Experience using AI-assisted development tools to plan work, refine specifications, delegate tasks, and validate implementation quality. Benefits The base salary range for this role is $100,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Задачи: — Преобразовывать бизнес-требования в ML-задачи, собирать пайплайн, обучать и проверять модель, внедрять её в реалтайм-сервис и тестировать с помощью A/B-теста. — Искать точки роста, предлагать и отстаивать свои идеи, запускать рекомендации на новых поверхностях и вертикалях. — Ранжировать с учётом предпочтений, доступности и загрузки ресторана, скорости и стоимости доставки, а также балансировать органику с рекламным продвижением. — Сотрудничать с продуктовыми командами, аналитиками и MLOps, решать общие задачи, проводить совместные эксперименты и защищать результаты. Требования: — Опыт разработки на Python или C++. — Хорошее знание методов анализа данных и ML с практическим применением. Будет плюсом: — Опыт создания рекомендательных систем или поиска. — Опыт работы с высоконагруженными реалтайм-системами.

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. Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health. Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. 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. 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! 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: 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. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy. We’re looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area Optimise Operations: Improve performance, reliability, scalability and security for our backend systems Collaborate & Influence: Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. 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 .

Задачи: — Развивать модели прогнозирования спроса и ценовой эластичности; — Исследовать подходы к causal inference, uplift-моделированию и оценки эффекта изменения цены; — Проектировать временную валидацию, backtesting и бизнес-метрики качества; — Работать с uncertainty, confidence, intermittent demand, cold start и long-tail SKU; — Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений; — Организовать оценку plan/fact и мониторинг качества моделей; — Участвовать в проектировании feature engineering, batch training и batch inference на больших объёмах данных; — Проводить design review, code review и менторить ML-специалистов команды. Требования: — Опыт в классическом ML от 3 лет; — Сильная база в классическом ML, статистике и работе с табличными данными; — Опыт с forecasting, временными рядами и gradient boosting: LightGBM, CatBoost или XGBoost; — Понимание causal inference и экспериментального дизайна; — Опыт доведения ML-моделей до production; — Уверенное владение Python и SQL; — Понимание временной валидации, data leakage, calibration и uncertainty estimation; — Опыт работы с Airflow или аналогичным оркестратором; — Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений; — Умение связывать ML-метрики с измеримым бизнес-эффектом; — Опыт в retail, e-commerce, pricing или demand forecasting; — Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse; — Опыт с price optimization, hierarchical forecasting или operations research; — Опыт построения ML-мониторинга и проведения A/B-тестов. Условия: — Занятость full-time — Формат работы: удалённая, гибридная или офис (Москва, Краснодар)

Задачи: — Руководство командой тестирования сетевого оборудования (3-4 человека) — Анализ, ревью требований и сценариев использования, подготовка дизайна тестирования и тестовых сценариев — Анализ и оптимизация тестовой базы, улучшение тестового покрытия — Организация и проведение тестирования новой функциональности и приемочного тестирования для релизов — Подготовка планов тестирования, координация их выполнения членами команды, участие в тестировании — Взаимодействие со смежными командами для координации работ и устранения препятствий — Анализ результатов тестирования, описание и классификация найденных проблем, подготовка отчетов — Совершенствование процессов и методов тестирования, измерение и улучшение качества продукта Требования: — Опыт работы с сетями в ЦОД — Экспертное знание и практический опыт работы с сетевыми протоколами, применяемыми в ЦОДах (MCLAG, BGP, OSPF, VxLAN и др.) и офисах — Опыт управления командой от 3-4 человек — Опыт подбора и мотивации сотрудников — Понимание устройства современных компьютеров и операционных систем — Опыт работы с Linux, средствами версионирования, управления задачами и дефектами, инфраструктурой разработки ПО — Хорошее понимание процессов разработки и тестирования — Организаторские способности, системное мышление, аналитические навыки, внимание к деталям — Опыт разработки сетевой архитектуры/реализации проектов внедрения (будет плюсом) — Опыт работы с автоматизацией тестов на уровне кода (Python, Go и др.) (будет плюсом) — Курсы/сертификация Cisco CCNA/Juniper JNCIA/etc., Huawei Certified ICT Professional/Expert (HCIP/HCIE) for Datacom, Ericsson Extreme (будет плюсом) — Опыт тестирования комплексных высоконагруженных систем (будет плюсом) Условия: — Занятость: фултайм — Формат работы: удалённая

Задачи: — актуализация существующих автоматизированных тестов и запуск тестов — подготовка отчетов по результатам тестирования — настройка тестовых сред: установка прикладного программного обеспечения, и конфигурирование — разработка эмуляторов/заглушек Требования: — Опыт работы в роли тестировщика в проектах по функциональному тестированию ПО — Опыт работы с языками программирования Python — Опыт автоматизации тестирования — Опыт подготовки отчетов по результатам тестирования — Опыт настройки тестовых сред: установка прикладного программного обеспечения, и конфигурирование — Практический опыт автоматизации тестирования с использованием инструментов (Selenium, или HP UFT, или Сucumber, или Junit, или TestNG, или Espresso, или Earl Grey, или API, или TestСomplete) — Опыт работы с SQL (составление запросов различной сложности и объединение нескольких таблиц – от 3-х и более, вложенные запросы, и фильтрация по нескольким полям) — Практический опыт интеграционного тестирования программного обеспечения и использования инструментов API тестирования (SoapUI, или rfhutil, или MQ, или Fiddler) — Практический опыт функционального и интеграционного тестирования сервисных шин и процессов интеграции данных — Практический опыт тестирования баз данных (Oracle, или MySQL, или MS SQL, или PostgreSQL, или GRID, или Firebird) — Практический опыт чтения и редактирования, и анализа ошибок XML\HTML кода (Altova XMLSpy или аналогичные) — Опыт использования в работе паттерна Page Object — Практический опыт разработки эмуляторов/заглушек — Гражданство: РФ Условия: — full-time — Контракт до конца года, возможно продление — Процедура неймчека — Финалисты проходят СБ

Задачи: — разработка математической модели кейсов; — расчёт и настройка RTP, EV, House Edge; — расчёт вероятностей выпадения предметов; — variance / volatility и распределение выигрышей; — калибровка вероятностей под заданный RTP; — Monte-Carlo симуляции на 1–10+ млн открытий; — анализ экономики и прибыльности на большой дистанции; — оценка рисков и необходимого банкролла/резерва; — автоматический пересчёт модели при изменении рыночных цен CS2-скинов; — математическая проработка дополнительных игровых механик. Требования: — сильное понимание теории вероятностей и математической статистики; — опыт в iGaming, Game Math, Loot Boxes, Case Opening, RNG или игровой экономике (будет плюсом); — Python / NumPy (будет плюсом); — опыт Monte-Carlo моделирования (будет плюсом); — практический опыт работы с RTP и House Edge (будет плюсом); — понимание экономики CS2-скинов (будет плюсом); — примеры реализованных математических моделей (будет плюсом). Условия: — долгосрочный проект

Задачи: — Разработка кластеризованного on-prem билда ClickHouse под собственную облачную инфраструктуру; — Внедрение, масштабирование, поддержка; — Развитие DB-related инфраструктуры DAP; — Автоматизация, интеграция инструментов ролевых моделей: ClickHouse, SF, PostgreSQL и др.; — Нейминг конвеншн и пользовательские ролевые модели баз данных; — Работа с MPP-стеком: Trino, Greenplum, Vertica, StarRocks. Требования: — Опыт в позициях DevOps / SRE / DataOps от 5 лет; — Опыт написания автоматизации и tooling, предпочтительно на Python и Go; — Опыт production troubleshooting и низкоуровневого тюнинга ОС на базе *nix, преимущественно в облаке; — Глубокое понимание распределённых систем, сетей, хранилищ и производительности; — Глубокое понимание основных концепций, технологий и инструментов кибербезопасности (cybersec/appsec); — Опыт работы с Karpenter; — Опыт оптимизации затрат в AWS (Kubecost, Infracost, AWS теги и др.); — Опыт работы с termination трафиком, ingress и балансировщиками (Traefik, Istio, Nginx + сертификаты); — Опыт с Authentik или аналогами Keycloak/OKTA (управление идентификацией); — Опыт с VPN решениями (Pritunl {OpenVPN, WireGuard}, Fortinet и аналоги); — Желательно глубокое понимание хотя бы одной аналитической базы данных / MPP / распределённого движка запросов: ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, Vertica. Условия: — Рабочее место по выбору: офис в бизнес-центре класса «А» в Белграде (Сербия) или удалённая работа; — Гибкое начало рабочего дня с 9:00 до 11:00, 9-часовой рабочий день с часом на обед; — Частичная компенсация занятий в фитнес-зале и курсов английского, доступ к корпоративной библиотеке и консультации с психологом; — Поддержка при релокации: релокационный пакет в Белград; — Корпоративные мероприятия, выезды на природу, тимбилдинги и мастер-классы; — Качественный профессиональный опыт, развитие навыков и комфортная рабочая атмосфера.

Задачи: — Разворачивать торговые приложения, настраивать инстансы и окружение под требования к нагрузке и задержкам. — Исследовать и устранять проблемы производительности Linux, сети и сервисов в тестовых окружениях и production. — Строить воспроизводимые тесты и бенчмарки, проверять влияние изменений на задержки, пропускную способность и потребление ресурсов. — Автоматизировать инфраструктуру с помощью Ansible и CI/CD. — Поддерживать инфраструктурные сервисы, настраивать и оптимизировать Kafka. Требования: — Опыт настройки и эксплуатации Linux-инстансов в production. — Практический опыт поиска и устранения проблем производительности на уровне ОС, сети и сервисов. — Построение воспроизводимых тестов и бенчмарков, оценка влияния изменений на задержки и пропускную способность. — Автоматизация инфраструктуры с Ansible и CI/CD. — Настройка мониторинга и алертинга для production-систем. Будет плюсом: — Опыт в HFT или других системах с жёсткими требованиями к задержкам. — Linux performance tuning и работа с perf, eBPF/bpftrace, strace. — Опыт оптимизации производительности Kafka. — Разработка инструментов диагностики и автоматизации на Python, Go или C++.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We're looking for a Senior Frontend Engineer to join our payments team and help build and evolve our Checkout experience. Checkout is the final step in a mobile game purchase — the interface where players around the world complete payments every day. It operates across 200+ countries and supports 130 currencies, 25 languages, and 100+ payment methods. Its performance, reliability, and UX directly impact payment success rates, conversion, and revenue. KEY RESPONSIBILITIES - Build and improve Checkout: add new payment flows, payment methods, and third-party SDK integrations. - Build a fast, simple, mobile-first interface that works well across browsers, WebViews, and in-app browsers, including on low-end devices and slow networks. - Improve Checkout performance and stability by finding bottlenecks and fixing issues in key user flows. - Use product data and experiments to find friction in the Checkout funnel, test ideas, and improve conversion. - Investigate production issues using logs, traces, product events, and metrics, and work with APIs and backend services when needed. - Take part in technical decisions and code reviews and help maintain frontend code quality. REQUIRED QUALIFICATIONS - 5+ years of professional frontend development experience with strong TypeScript and React skills. - Strong understanding of browsers, networking, and mobile web. - Experience improving web performance, including FCP, LCP, profiling, bundle size, and resource loading. - Experience building payment or other transactional flows, such as checkout, subscriptions, wallets, or payment SDK integrations. - Strong debugging skills and ability to investigate problems beyond the frontend layer. - Ability to own your work from implementation and release to stable operation in production. PREFERRED QUALIFICATIONS - Experience in fintech, payments, e-commerce, gaming, or other consumer products with a large mobile audience. - Understanding of payment concepts such as 3DS, payment statuses, saved payment methods, declines, and refunds. - Understanding of frontend security, including CSP, iframe security, and PCI scope. - Ability to read Go or Python and understand backend logic and APIs. - Experience using AI tools in day-to-day development. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.   ROLE We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. - Define and drive the roadmap for Finance data, automation, and internal tooling - Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value - Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions - Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes - Establish strong standards for data quality, observability, documentation, security, and access management - Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions - Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices - Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently - Identify AI and automation opportunities, take them from prototype to production, and measure the value they create - Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support   PROFILE - Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions - Proven track record of building or substantially improving a modern data platform or analytics stack - Highly proficient in SQL and comfortable building production systems in Python - Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring - Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage - Ability to translate ambiguous business needs into clear, pragmatic technical solutions - Comfortable working autonomously, prioritising competing needs, and delivering value incrementally - Strong communication skills with both technical and non-technical stakeholders, in French and English - Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view - Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: - Experience building tools or data products for Finance teams - Experience deploying AI agents or AI-enabled workflows into production - Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem - Experience operating data infrastructure on AWS   OUR STACK - Cloud: AWS - Languages: Python, SQL, Scala - Transformation & orchestration: dbt, Airflow, Spark - Query engines: Athena, StarRocks - Infrastructure: Terraform, Kubernetes - Internal applications: Streamlit - AI-assisted development: Claude Code, MCP-based internal tooling   BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Требования: — Обязательный опыт написания автотестов на Python; — Опыт автоматизации тестирования: актуализация существующих автоматизированных тестов и запуск тестов; — Опыт работы в роли тестировщика в проектах по функциональному тестированию ПО; — Опыт подготовки отчетов по результатам тестирования; — Опыт настройки тестовых сред: установка прикладного программного обеспечения и конфигурирование; — Практический опыт автоматизации тестирования с использованием инструментов Selenium или Cucumber или TestNG; — Практический опыт функционального и интеграционного тестирования сервисных шин и процессов интеграции данных; — Опыт работы с тест-дизайном (проектирование тестовой модели и создание набора тестовых случаев, обеспечивающих тестовое покрытие приложения); — Опыт работы с SQL (составление запросов различной сложности, объединение нескольких таблиц – от 3-х и более, вложенные запросы, фильтрация по нескольким полям); — Практический опыт интеграционного тестирования программного обеспечения и использования инструментов API тестирования (SoapUI или MQ или Fiddler); — Практический опыт тестирования баз данных; — Практический опыт чтения, редактирования и анализа ошибок XML/HTML кода (Altova XMLSpy или аналогичные); — Опыт использования в работе паттерна Page Object; — Практический опыт разработки эмуляторов/заглушек.

Требования: — Гражданство и локация РФ — Высшее техническое образование в сфере ИТ — Опыт в автоматизации интеграционных тестов на Java или Python (Selenium/Selenide, Playwright и аналоги) минимум 2 года — Опыт работы с системами автоматизированного тестирования (HP UFT, Selenium, Test Complete, IBM RR) от 1 года — Знание видов и методик тестирования программного обеспечения — Навыки проведения функционального, интеграционного и регрессионного тестирования — Навыки проведения ручного тестирования бизнес-процессов — Автоматизация тестирования Web-решений: Selenium / Playwright — Desktop-решения и legacy-инструменты (HP UFT, Test Complete) — плюс — Навыки разработки тестовой модели — Навыки написания SQL-запросов — Опыт работы с одной из СУБД (PostgreSQL / Oracle) — Навыки в тестировании интеграционных продуктов — Навыки работы с системами багтрекинга — Навыки работы с таск-трекерами и системами управления тестированием (Jira/Kaiten, HP ALM, TSM) — Навыки работы с системами версионного контроля (Git, SVN) — Понимание клиент-серверной архитектуры: HTTP/HTTPS, REST/SOAP, форматы XML/JSON — Навыки работы с Web-технологиями, DevTools браузера (отладка, вкладка Network, консоль) — Понимание процессов CI/CD, запуск автотестов в пайплайнах — Базовое понимание Docker (запуск тестовых стендов) — плюс — Навыки работы с ОС Windows и *nix — Знание гибких фреймворков разработки Scrum, Kanban — Навыки тестирования в командах с гибкой моделью разработки — Знание программного обеспечения — Инструменты управления базой знаний — Инструменты управления базами данных — Инструменты для работы с логами — Инструменты для тестирования и работы с API (Postman, SOAP UI) — Инструменты автоматизации — Английский язык, уровень B1: чтение технической документации Условия: — Удалённая работа — Вилка до 170к рублей на руки

Location: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

Talablar: — Python’da kamida 2 yillik tijoriy dasturlash tajribasi; — Python’ni yaxshi bilish; — FastAPI yoki Django bilan ishlash tajribasi; — SQL va PostgreSQL’ni ishonchli bilish; — REST API tamoyillarini tushunish; — Git bilan ishlash tajribasi; — Docker asoslarini bilish; — OOP tamoyillari va mashhur design pattern’larni tushunish; — Mavjud kodni mustaqil tahlil qilish va vazifalarni sifatli yakunlash qobiliyati. Kompaniya haqida: Kompaniyalarning ichki biznes jarayonlarini avtomatlashtirishga moʻljallangan B2B platforma. Platforma mijozlar, buyurtmalar, hujjatlar va hisobotlar bilan ishlash jarayonlarini avtomatlashtirish imkonini beradi. Ish sharoitlari: — Ish holati: aktiv — Hudud: Toshkent shahri (onlayn yoki offline) — Ish turi: Onlayn / oflayn (To'liq vaqt) 5/2 — Maosh: 15 000 000 - 20 000 000 so'm

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth