Вакансии

Компания "Дело техники" ищет специалиста на вакансию Программист встраиваемых систем (Embedded C/C++). Работа в Екатеринбурге, полный рабочий день. Обязанности: — низкоуровневое программирование микроконтроллеров STM32 и ESP32/ESP8266; — реализация драйверов и протоколов I2C, SPI, UART/USART; — разработка и сопровождение ПО на одноплатных компьютерах Orange Pi, Raspberry Pi и аналогичных под Linux/ADB; — развёртывание, настройка и сопровождение Docker-контейнеров и микросервисов; — программирование на C, C++, Python: разработка firmware, системных утилит, скриптов автоматизации; — участие в лабораторных и полевых испытаниях устройств и систем; — подготовка технической документации: архитектурные описания, протоколы испытаний, инструкции по эксплуатации; — разработка ПО для обмена данными между бортовыми и наземными системами с использованием протокола MAVLink и middleware DDS (DDS-Client / uXRCE-DDS); — настройка, конфигурирование и адаптация полётных стеков PX4, ArduPilot, INAV и Betaflight: параметризация, калибровка, интеграция периферии; — разработка программных модулей на C++ с использованием фреймворка ROS2 под Linux; — работа с системой контроля версий Git: код-ревью, ветки, документация. Требования: — высшее техническое образование, приветствуется наличие интересных проектов в портфолио; — опыт работы в программировании встраиваемых систем; — подтверждённый опыт разработки firmware для STM32 и ESP32; — опыт работы с ROS2, DDS Client, Docker и контейнеризованными приложениями, Linux-системами на уровне системного администрирования и разработки; — владение специализированным ПО: STM32CubeIDE, ESP-IDF (VSCode + PlatformIO), CLion; — системы сборки: CMake, Make, ninja; — отладка: OpenOCD, GDB, ST-Link Utility, J-Link RTT Viewer; — анализ трафика и протоколов: Wireshark, Logic 2 (Saleae), PulseView; — внимательность к деталям, аналитическое мышление, способность работать в условиях высоких требований к надёжности и скорости. Условия: — трудоустройство по ТК РФ; — стабильная "белая" заработная плата; — график 5/2 с 9:00 до 18:00; — доставка до места работы на служебном транспорте (район Кольцово); — корпоративное питание; — конкурентная заработная плата; — работа с интересными проектами и передовыми технологиями; — современное оборудование и любое аппаратное обеспечение для эффективного выполнения задач; — возможности для саморазвития: тренинги, конференции, обучение; — окончательный уровень зарплаты определяется по результатам технического собеседования в соответствии с опытом, знаниями и навыками кандидата.

Задачи: — Взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта. Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT; — серьёзный практический опыт с VPN, туннелированием и Xray; — опыт работы именно с крупными VPN-проектами; — глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений; — сильный Linux и сетевая диагностика; — опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами; — плюсом будет практический опыт колокации собственного оборудования; — умение проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства; — способность быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения; — постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас; — опыт работы в крупном VPN-сервисе и знание индустрии изнутри; — хорошее ориентирование в рынке хостингов и дата-центров, понимание особенностей разных провайдеров и умение строить масштабируемую и отказоустойчивую инфраструктуру для сотен тысяч пользователей; — VPN-инфраструктура и сети — основная профессиональная специализация. Условия: — полностью удалённо, full-time; — только основная работа — без параллельной работы и учёбы; — зарплата 350 000–1 000 000 ₽ на руки, итоговая сумма зависит от уровня, опыта и компетенций.

Задачи: — Владение backend и full-stack разработкой на Phoenix и LiveView, проектирование устойчивых OTP систем, чистых API и масштабируемых real-time пользовательских интерфейсов. — Проектирование и создание production-приложений на Phoenix: REST API, LiveView UI и real-time функции на PubSub и Channels. — Моделирование и развитие данных с использованием Ecto и PostgreSQL, написание эффективных запросов и безопасных миграций без простоев. — Создание отказоустойчивых систем с использованием OTP: supervision trees, GenServers, распределённых BEAM паттернов. — Управление фоновыми задачами и планируемыми рабочими нагрузками с Oban, обеспечение наблюдаемости через Telemetry и метрики. — Разработка безопасного кода с паттернами аутентификации/авторизации, минимальными правами доступа и защитой ввода. — Развёртывание и эксплуатация сервисов на Kubernetes/GCP, участие в CI/CD пайплайнах и обеспечении качества релизов. — Наставничество инженеров, участие в техническом лидерстве через код-ревью, дизайн-сессии и стандарты кодирования. — Документирование решений и эффективная коммуникация в удалённой среде с акцентом на асинхронное сотрудничество. Требования: — Опыт профессиональной backend или full-stack разработки 5+ лет, из них 3+ года с Elixir/Phoenix в продакшене. — Глубокое понимание OTP и BEAM: процессы, supervision, GenServer/GenStage. — Практический опыт создания интерактивных UI с Phoenix LiveView (компоненты, потоки, JS hooks). — Глубокие знания Ecto и PostgreSQL: проектирование схем, оптимизация запросов, индексация, миграции. — Опыт работы с системами фоновых задач (предпочтительно Oban) и событийно-ориентированными архитектурами. — Строгая дисциплина тестирования с ExUnit, включая property-based и интеграционные тесты. — Знакомство с контейнеризацией (Docker, Kubernetes) и лучшими практиками CI/CD. — Инженерный подход с акцентом на безопасность: основы OWASP, паттерны аутентификации, безопасная обработка данных. — Отличные письменные и устные коммуникативные навыки, особенно в удалённой и асинхронной работе. Условия: — Работа в Европе с возможностью полностью удалённой работы или релокации в Афины с поддержкой переезда. — Гибридный режим работы в Афинах: 2 дня в офисе, 3 дня удалённо, плюс один месяц работы из любой точки. — Бонус на релокацию 10% от годовой зарплаты. — Снижение налогов на доход на 50% в рамках релокации. — Поддержка с проживанием первые недели. — 25 дней отпуска в год, оплачиваемый декретный отпуск, компенсация на домашний офис. — Бюджет на обучение и участие в конференциях, современное оборудование. — Доступ к лабораториям Hack The Box для обучения. — Гибкий график работы.

Location: Москва ### **Мы учим банк слышать клиента - и действовать раньше, чем он пожалуется.** Каждый день клиенты Сбера оставляют миллионы сигналов: оценки, ответы в опросах, жалобы, обращения в поддержку. Наша команда превращает этот поток в решения - **где клиенту неудобно, что чинить первым, как вернуть доверие после сбоя**. Именно по нашим данным банк управляет NPS и CSI. **Мы не просто измеряем клиентский опыт. Мы делаем так, чтобы его улучшали.** Сегодня это делают люди с дашбордами и методиками. Завтра - автономные ИИ-системы, которые сами найдут аномалию в клиентском пути, объяснят её причину и предложат продуктовой команде готовую гипотезу и задачу.  ### **Чем вы будете заниматься?** Мы ищем Head of AI Engineering - ИТ-лидера кластера, который возглавит четыре команды и построит в них AI-инженерию. У вас будут три зрелых продукта, которыми пользуется весь Сбер и Экосистема: «Голос клиента», Service Recovery, «Анкеты и опросы» - и новое AI-направление: мультиагентная система для анализа клиентского опыта. Ваша задача - не развивать их порознь, а соединить: данные зрелых продуктов становятся топливом для агентов, а агенты дают продуктам возможности, которых раньше не было. Это роль для руководителя с сильным инженерным бэкграундом, который сочетает техническую глубину, продуктовое мышление и умение выстраивать организацию - от найма первых AI-инженеров до перестройки практик всего кластера. ### Обязанности **Стратегия и бизнес-результат** * формировать и реализовывать технологическую стратегию кластера в связке с продуктовой стратегией Трайба: где AI создаёт максимальную ценность для клиентского опыта, в какой последовательности внедрять, как измерять эффект * управлять портфелем AI-инициатив: приоритизация, распределение ресурсов, go/no-go по итогам PoC, доведение до промышленной эксплуатации * отвечать за метрики направления: эффект AI-решений в NPS, CSI и скорости реакции на проблемы клиентов, стоимость инференса, adoption среди продуктовых команд * защищать инициативы и бюджет направления перед руководством Трайба и Блока. **Команда и организация** * руководить четырьмя agile-командами через лидеров команд; отвечать за delivery, качество, надёжность, найм и развитие людей * формировать инженерную культуру: стандарты качества, код-ревью, evals-first подход, документация, обмен знаниями; помочь классическим командам освоить работу с LLM * работать в паре с бизнес-лидером кластера и владельцами продуктов; выстраивать взаимодействие с data-подразделениями, безопасностью и комплаенсом. **Технологии и архитектура** * задавать целевую архитектуру кластера и архитектурные принципы AI-платформы: слой доступа к моделям, RAG-инфраструктура, агентные фреймворки, система evals, наблюдаемость * принимать ключевые технологические решения: build vs buy, выбор моделей, стратегия мультимодельности, требования к данным, управление техническим долгом и переход на целевые платформы банка. * отвечать за надёжность, безопасность и соответствие требованиям регуляторов: защита клиентских данных, guardrails, аудит AI-решений, AI governance * оставаться на переднем крае технологий: оценивать новые модели и подходы, проводить быстрые эксперименты, отделять хайп от применимого. Требования * 8+ лет опыта в разработке ПО (на стэке Java/Python), из них 3+ года в руководстве инженерными командами (от 30 человек, несколько команд) и 2+ года практического опыта с LLM/GenAI-решениями в промышленной эксплуатации * подтверждённый опыт доведения AI-продуктов до прода с измеримым бизнес-эффектом: можете рассказать, что внедрили, как измеряли и что это дало бизнесу * опыт ответственности за высоконагруженные отказоустойчивые системы с большим числом команд-потребителей: надёжность, SLA, масштабирование, управление техническим долгом * глубокое техническое понимание современного AI-стека: LLM-провайдеры и open-source модели, RAG, агентные архитектуры, evals, fine-tuning, инференс-инфраструктура - на уровне, достаточном для архитектурных решений и оценки работы команды * опыт построения команды с нуля или значимого масштабирования (найм, онбординг, развитие, работа с эффективностью) * сильные навыки стейкхолдер-менеджмента: умение работать с топ-менеджментом, защищать бюджеты, переводить технические возможности на язык бизнес-ценности (NPS, CLTV, отток) Условия * гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role & impact As an Engineering Manager, you will own the roadmap and strategy for your team end-to-end, setting direction, making prioritisation calls, and driving the delivery of high-quality software through high-performing, inclusive teams. You won't just manage the work; you will be a genuine technical voice in the room, leading system design discussions, navigating architectural trade-offs, and shaping how the team evolves its technical foundations. Your impact spans both delivery velocity and technical excellence. You will actively contribute to critical engineering decisions, from system architecture and platform design to build-vs-buy trade-offs, while championing AI-native workflows and guiding your team to hone their craft in ways that deliver meaningful business and customer outcomes. The team You will lead a coordinated platform or product-focused team where building trust through transparency and seeking diverse perspectives are core to how we work. As an equal partner with Product and Design, you will co-own the strategic direction of your domain — resolving dependencies early, influencing product thinking with technical insight, and creating a sustainable environment where engineers can do their best work. We’re currently recruiting for three teams in NZ - Payments, Small Business Experience and Inventory. The team is currently working on / Initially, you will focus on: Payments You'll be leading a high-performing 6-7 person engineering team based in Auckland that manages some of Xero's most critical products. Your team serves approximately 70% of Xero's global subscriber base, which means the systems you oversee directly impact millions of customers worldwide. This is a role for someone who thrives in a high-stakes environment and wants to modernize legacy systems while maintaining a relaxed, collaborative team culture. Inventory You'll lead a distributed 9-person engineering team across Auckland, Wellington, and remote NZ locations. Inventory is on a mission to help small and mid-sized product-based businesses keep their accounting accurate and simple. You'll own a team that's directly responsible for closing critical gaps in functionality and modernizing core systems—with tangible feedback from customers proving the impact of your work. This is a role for a technical leader with strong operational mindset and a track record of delivering and maintaining high-availability systems. Where and how you can work This role can be based in Auckland or Wellington in New Zealand, with some scope for remote NZ location for one of the engineering teams. We offer a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we are looking for - You champion AI-native practices in engineering (AI-assisted PR reviews, code generation, tooling, agentic workflows) and turn experimentation into durable practice. - You bring a proven track record of owning and delivering software roadmaps end-to-end in agile environments, including managing complex dependencies and making strategic prioritisation decisions. - You have deep experience in software architecture and system design, with the confidence to lead technical trade-off discussions and steer teams through significant modernisation efforts. - You have a passion for providing high support through coaching, mentoring, and advocating for the career progression of your engineers. - Your approach to leadership involves making fast, decentralised decisions and empowering your team to take ownership. - You possess the ability to lead through influence, building strong partnerships across Product and Design; contributing technical perspectives to shape shared strategy, not just align to it. - A bias for action is part of your DNA, allowing you to proactively redirect focus when work isn't moving the needle on business outcomes. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Задачи: — Разработка нового проекта в команде Intercity — Участие в процессе Scrum Требования: — Kotlin, Jetpack Compose, Coroutines, MVVM/MVI — 2+ года коммерческой разработки под Android Условия: — Работа по Scrum — Возможность работать на разных рынках

Location: San Francisco, CA | New York City, NY 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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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: $280,000 — $320,000 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity 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: $320,000 — $485,000 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: France; Poland; Romania; Bulgaria; Italy; Hungary Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for an experienced Aircraft Maintenance Engineer holding a valid EASA Part-66 B1 License to join an international technical operations team. In this role, you will perform and certify complex aircraft maintenance activities, coordinate on-site technical interventions, and ensure compliance with strict aviation safety and quality standards. CONTRACT: Permanent COMMITMENT: Full-time LOCATION: Relocation to France needed, worldwide missions NOTES: EU passport is mandatory Requirements Valid EASA Part-66 B1 License 2+ current aircraft type ratings 5+ years of experience in aircraft maintenance or certifying roles Experience certifying maintenance activities on commercial aircraft Strong knowledge of aviation maintenance procedures and safety regulations Professional working proficiency in English Willingness to travel internationally for customer support assignments Ability to work effectively in a fast-paced operational environment

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта. Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT; — серьёзный практический опыт с VPN, туннелированием и Xray; — опыт работы именно с крупными VPN-проектами; — глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений; — сильный Linux и сетевая диагностика; — опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами; — плюсом будет практический опыт колокации собственного оборудования; — умение проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства; — способность быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения; — постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас; — опыт работы в крупном VPN-сервисе и знание индустрии изнутри; — хорошее ориентирование в рынке хостингов и дата-центров, понимание особенностей разных провайдеров и умение строить масштабируемую и отказоустойчивую инфраструктуру для сотен тысяч пользователей. Условия: — зарплата 350 000–1 000 000 ₽ на руки, итоговая сумма зависит от уровня, опыта и компетенций; — полностью удалённая работа, full-time; — только основная работа — без параллельной работы и учёбы. Для отклика нужно написать кратко о своём опыте: в каких VPN-проектах работали, их масштаб, ваша зона ответственности, стек и наиболее сложные задачи, которые приходилось решать.

О компании: " •••••••••• " — агентство, специализирующееся на сложных интерактивных digital‑проектах, UI/UX мирового уровня и веб‑разработке. Роль: QA Engineer (Middle) Обязанности: — Ручное тестирование frontend и backend — Разработка и актуализация тестерской документации — Регрессионное и исследовательское тестирование — Документирование багов в баг‑трекинговой системе — Взаимодействие с командой тестирования, разработки, лидом и аналитиком Требования: — Умение аргументированно отстаивать качество продукта и предлагать улучшения — Гибкость и умение адаптироваться к изменениям требований и процессов — Уверенное знание специфики и опыт работы с JSON — Глубокие навыки тестирования API (REST) — Понимание сетевых протоколов HTTP и инструментов работы с ними — Опыт работы с логами (Grafana, Kibana, Sentry) Условия: — Офис в Белграде или удалённая работа — Гибкое начало рабочего дня — Бесплатные корпоративные завтраки и обеды — Рабочее место оборудовано современной техникой — Отсутствие бюрократии — Компенсация 50% оплаты занятий по английскому языку

Задачи: — Разрабатывать и поддерживать модули Terraform/OpenTofu для vSphere VM provisioning, настройки размещения и resource-pool, интеграции cloud-init/cloudbase-init согласно дизайнам VMware Architect. — Создавать и запускать Ansible playbooks для пост-провиженинга конфигурации на VMware VM. — Обеспечивать модули VMware DRS (правила affinity/anti-affinity, resource pools) и vSAN (storage policy). — Помогать в создании и тестировании модулей SRM (protection groups, recovery plans) и HCX (site pairing, network extension), включая тестирование отказоустойчивости. — Сотрудничать с Network Architect по реализации NSX-T сегментов и правил DFW для VMware нагрузок. — Диагностировать и решать производственные проблемы в VMware automation модулях на этапах внедрения и адаптации. — Участвовать в тестировании модулей и документации согласно стандартам платформы Infrastructure as Code Engine. Требования: — Опыт 3+ лет в разработке и эксплуатации VMware automation. — Экспертные знания vSphere, DRS и vSAN через Terraform/OpenTofu и Ansible. — Опыт тестирования VMware, включая paired-site и failover тесты для HCX/SRM. — Знания NSX-T сетевой сегментации и распределённого файрвола (DFW) для взаимодействия с Network Architect. — Навыки настройки Windows guest (cloudbase-init) и Linux cloud-init. — Профессионализм в Terraform (IaC) и Ansible (CaC) разработке. — Умение работать с AI-поддержкой через GitHub Copilot. — Свободное владение английским языком на уровне B2 и выше. Желательно: — Опыт интеграции VMware provisioning с golden-image pipelines. — Знания Microsoft Azure. Условия: — Полная занятость. — Удалённая работа.

Role Summary: We are seeking a skilled Electrical Engineer as an independent contract worker to support the design and coordination of cutting-edge data center projects across the U.S. Responsibilities include modeling, designing power distribution, security and life systems, standby generators and UPS systems, performing calculations, preparing technical documentation, and ensuring design accuracy using advanced BIM and electrical engineering tools. Collaboration with other disciplines throughout the full project lifecycle from schematic design through execution is required. Strong technical knowledge, attention to detail, and excellent communication skills are essential. Key Responsibilities: — Use BIM tools to virtually construct electrical systems and coordinate with other disciplines using tools such as Autodesk Revit (mandatory). — Develop a thorough understanding and delivery of project requirements related to scope, cost, and schedule. — Determine and expedite engineering deliverables for projects. — Develop and maintain project scope of work documentation and revisions during design evolution. — Design electrical systems including power distribution, UPS, standby generators, and security and life systems. — Prepare engineering calculations, schematic and detailed designs. — Prepare technical documentation including design criteria, calculations, process flow sheets, and specification/data sheets for electrical equipment. — Review shop drawings. — Produce models and drawings in various BIM software and CAD modeling tools. Qualifications & Experience: — Bachelor’s or master’s degree in engineering. — Proven expertise as an electrical engineer. — Written and spoken English at B1 level or higher. — Experience in electrical design for industrial, residential, and commercial sectors, including medium and low voltage distribution, lighting, grounding, and lightning protection. — Experience with various electrical modeling software. — Hands-on experience with Autodesk Revit (mandatory). — Experience working on projects in multidisciplinary environments. — Deep knowledge of electrical manufacturing processes. — Understanding of electrical engineering codes and safety standards. — Proficiency in Microsoft Office (Word, Excel, Outlook). — Ability to multitask and prioritize to meet project deadlines. — Self-starter, ambitious, thriving in fast-paced environments. — Ability to communicate technical knowledge clearly. — Excellent communication skills. What We Offer: — Experience in a high-tech industry working for an international company. — Unique, cutting-edge data center projects. — Dynamic work partnering with a professional engineering team. — Competitive hourly rate. — Ability to collaborate remotely. — Supportive dynamic environment. — English classes available. Additional Information: — Engagement is on a long-term independent contractor basis with a US-based company. — Not limited to a single project; involves continuous collaboration across multiple mission-critical projects. — Ehvert Mission Critical is a business unit within Salas O’Brien, specializing in data center design and construction management. — Projects include hyperscale and AI data centers for global tech giants such as Microsoft, Oracle, Uber, and Amazon. — Use of advanced technologies such as BIM, Virtual Design and Construction (VDC), digital twins, and augmented reality. Location: — Based in Tirana, Albania with remote work format. How to Apply: — Submit resume in English detailing relevant experience via the provided application URL.

Location: Hybrid - EMEA About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Travel & On-Site Engagement: Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Задачи: — поддерживать и развивать инфраструктуру продукта на Linux; — обеспечивать стабильную работу серверов, прокси и CDN; — обеспечивать доступность продукта для пользователей из разных стран; — автоматизировать инфраструктурные процессы и развивать CI/CD; — развивать мониторинг и участвовать в расследовании инцидентов; — участвовать в разработке внутренних инструментов. Инфраструктура: Ubuntu, Nginx, GitHub Actions, MongoDB, ClickHouse, Grafana, выделенные серверы. Настройка инфраструктуры с нуля, деплой напрямую на сервер. Требования: — уверенное знание Linux; — работа с bare-metal (must have); — опыт эксплуатации production-инфраструктуры; — опыт работы с Nginx; — опыт автоматизации рутинных задач; — умение самостоятельно находить причины сложных технических проблем. Будет большим плюсом: MongoDB, ClickHouse, Prometheus, Grafana; GitHub Actions или другие CI/CD-системы; Docker; Python или Bash. Условия: — оформление по ТК РФ; — офис / гибрид / полная удалёнка; — ДМС со стоматологией; — всё необходимое оборудование; — компенсация профессионального развития; — компенсация изучения английского языка; — ЗП: ориентируюсь на 200-220к RUB

Location: San Francisco, CA | New York City, NY 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 The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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: $320,000 — $485,000 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.