Вакансии

Location: Москва Мы ищем Аналитика в команду "Обмен данными" рекламной платформы SberAds. Команда обеспечивает двусторонний поток информации между рекламной платформой, Сбером и сервисами экосистемы. Ключевые задачи направления включают поиск и оценку новых источников данных, организацию надежных и комплаентных поставок, а также обеспечение высокого качества данных на всех этапах их движения. Роль предполагает работу на стыке бизнес-анализа, data governance и технической аналитики. Обязанности * поиск, оценка и проработка новых источников данных, а также проектирование как входящих, так и исходящих поставок данных из рекламной платформы. * согласование атрибутивного и сущностного (сутевого) состава передаваемых и получаемых данных с владельцами источников и потребителями. * сопровождение процессов согласования потоков данных, включая обязательное взаимодействие с DPO (Data Protection Officer) и службами безопасности для обеспечения compliance и защиты персональных данных (152-ФЗ). * формирование технических заданий и постановка задач смежным командам (включая команды разработки): описание требований к витринам, пайплайнам и трансформациям данных. * контроль качества (Data Quality) получаемых и передаваемых данных: разработка чек-листов, валидация объемов, проверка полноты, непротиворечивости и корректности атрибутов. * аналитический разбор инцидентов, связанных с обменом данными: выявление root-cause, оценка влияния на бизнес-процессы, подготовка рекомендаций по устранению. * анализ охватов пользовательских сегментов и выбор оптимальных технических решений для их поставки. * организация взаимодействия с заказчиками данных: сбор требований, управление ожиданиями, контроль сроков и качества исполнения. Требования * опыт работы в аналитике данных (Data Analyst / BI Analyst / Data Engineer) от 1 года * уверенное знание SQL на уровне написания сложных запросов * свободное владение Python для анализа данных (pandas, numpy) и автоматизации рутинных проверок * опыт работы с большими данными: знание Apache Spark (PySpark, Scala) для обработки и трансформации крупных массивов данных * навык построения дашбордов и систем мониторинга в BI-инструментах (Redash, Apache Superset, Metabase или аналоги) * опыт формализации бизнес-требований и написания технических спецификаций (ТЗ) для команд разработки и Data Engineering * понимание принципов Data Quality и опыт проведения сверок данных на разных уровнях (raw, staging, mart) * базовое понимание требований законодательства в области защиты персональных данных и опыта взаимодействия с комплаенс-подразделениями. **Будет преимуществом:**   *  опыт работы с событийными данными и веб-логами (кликстрим, event-based data, детальная статистика пользовательского поведения). * понимание архитектуры хранилищ данных (Data Warehouse, Data Lake) и принципов работы ETL/ELT-процессов. * опыт работы в роли бизнес аналитика. * понимание принципов работы рекламных платформ: сегментация, таргетинг, аукционы, RTB * навыки работы с генеративными AI-моделями. Условия * комфортный современный офис (Оружейный пр. д.41) * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития   * программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: 🛫  Local market rates and cost of living vary. Your specific range within this band depends on where you’re based, and there’s room to discuss what’s right for the person and the role. We’ll walk through your range together on your first call with our Talent team so we’re aligned for takeoff! 🎒✨

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Development Engineer in Test II 12-month Contract role Location: San Mateo, CA - Hybrid Do you have a passion for development and automation as well as driven vision for delivering the best experiences to users? Do you want to work at a company where customers have real passion and excitement for the products you help build? At PlayStation, we are looking for engineers to join a global initiative in building innovative test automation and CI/CD systems. We are looking for self-motivated, quick-starter and highly proactive individuals to join our Client QA team, who would be responsible for ensuring delivery of features on PlayStation's Mobile App! At PlayStation, we are passionate about innovation, teamwork and technology. We love building the systems that millions of people use and are our own first customers. We strive to be at the forefront of development technologies and are a diverse company with teams on four continents. Primary Responsibilities Review product requirements and design documents to understand how the feature works on the PlayStation console and create effective testing strategies. Plan and complete QA related activities for UI testing; build test plan, test cases, and implement to ensure the quality of new features. Build, maintain and improve test automation frameworks, and help teams set up automation infrastructure. Develop and implement standard methodologies for automation, continuous build and deploy, automated testing and end-to-end testing. Maintenance of the PS5 devices used in testing. Passionate about Quality and strives to improve process, proposes best practices and drives their usage within the team. Manage various Jenkins Jobs and report statuses Work with Developers, Product Owners to ensure that all features and bug fixes come with automated test coverage Assist with production deployment support and post release Report, track and verify defects Qualifications Minimum BS degree in CS or a related field, or ability to demonstrate equivalent knowledge Experience in building and executing test plans and test cases Experience writing automated tests in Python, Java Script or any other Programming Language Understanding of automation test framework like pytest Experience in setting or configuring up test pipelines as part of Continuous Integration(CI), Jenkins preferred Practical experience using development and deployment tools like Git, Jenkins, Appium Experience with test case management systems & JIRA, QTest/QMetry systems Ability to estimate effort and size of features Experience with Agile methodologies Strong technical, analytical and problem-solving skills Able to work independently and as part of a team Excellent verbal and written communication skills. comfortable with cross functional collaboration Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Ontario, CAN 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're looking for a Firmware Engineer to develop and maintain the embedded software behind the end effectors on our robots and the human-worn devices operators use to interface with them. This role combines firmware development with hardware integration you'll sit at the boundary between hardware and software, bringing up new PCB revisions, writing firmware and drivers, and integrating a wide range of sensors and compute platforms. You'll work closely with electrical and mechanical engineers in a high-paced environment where priorities shift fast and reliability matters. WHAT YOU'LL DO - Develop Embedded Firmware: Write and maintain firmware for embedded microcontrollers, covering sensor sampling, status indication, input handling and power management. - Integrate Sensors & Drivers: Integrate and write drivers for sensors, encoders, LCD screens, IMUs, ToF sensors, LiDARs and cameras, including MIPI and other interfaces. - Work Across Compute Platforms: Integrate device-level firmware with higher-level compute platforms such as ESP32, Raspberry Pi and NVIDIA Jetson, and similar Linux-based platforms. - Implement Communication Interfaces: Design and implement interfaces between hardware subsystems, including I2C, SPI, UART, Ethernet, USB, CAN, EtherCAT and MIPI. - Bring Up New Hardware: Review schematics, debug boards with an oscilloscope/logic analyzer, and resolve integration issues spanning firmware, electrical and mechanical. - Own Calibration & Fault Detection: Develop calibration routines, power-sequencing logic, and fault/status detection for sensors and mechatronic systems. - Support Component Selection: Help with component selection for sensors, MCUs and other hardware building blocks. - Maintain OTA Pipelines: Build and maintain OTA update and image provisioning pipelines for fleets of embedded devices. WHAT WE'RE LOOKING FOR - Degree in Electrical/Computer Engineering, Computer Science, or a related field, with 4+ years' experience in embedded firmware development (C/C++). - Hands-on experience with microcontroller and compute platforms such as ESP32, STM32, Raspberry Pi and NVIDIA Jetson. - Experience integrating and/or writing drivers for sensors and peripherals — encoders, IMUs, ToF sensors, LiDARs, cameras and LCD/display modules. - Solid understanding of embedded communication and sensor interfaces: I2C, SPI, MIPI, UART, Ethernet/TCP-IP, USB, CAN and EtherCAT. - Comfortable bringing up and debugging new hardware revisions, with strong skills using an oscilloscope, logic analyzer and JTAG/SWD. - Experience developing calibration routines and supporting component selection alongside electrical and mechanical engineers. Nice to have - FPGA experience - Experience with camera synchronisation or multi-sensor time-sync - Python skills for tooling, test scripts, or diagnostics - Experience working with formally defined hardware interfaces/contracts shared across teams WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London; New York; Paris; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: We are looking for world-class research scientists and research engineers to build cutting-edge multilingual AI to serve the world! At Cohere, we care deeply about building technologies that are broadly accessible and useful, regardless of language. As a Member of Technical Staff on the Multilingual team, you'll be at the forefront of advancing language models that serve the world. You’ll push the boundaries of what's possible in natural language processing. This isn't just a technical role—it's an opportunity to contribute to groundbreaking research that will define the next generation of AI. Key Responsibilities: - Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it! - Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills. - Offers the opportunity to contribute to cutting-edge language technology, making a global impact. - Requires a self-starter who can work independently and deliver results efficiently. - Publish research findings and contribute to academic discourse in top-tier venues - Mentor junior team members and shape global best practices in multilingual AI / NLP Qualifications: - PhD in Computer Science, Linguistics, or related field (or equivalent experience) - Proven track record in large-scale data processing and ML pipeline development - Expert in Python and software engineering best practice - Deep understanding of multilingual data challenges and NLP fundamentals - Passion for advancing language technology and making global impact - Strong publication record or demonstrated research potential - Excellent communicator able to bridge technical and research communities Note: - This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. - If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations request form and we will work together to meet your needs. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Senior Electronics Engineer - Location: Warsaw, Poland - Department: Engineering - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: You design and own the embedded electronics that give ICEYE’s spacecraft the ability to sense their environment, make decisions, and act, safely and reliably, in orbit. Working closely with firmware and systems engineers, you take hardware from first schematics through bring-up, verification, and on-orbit support, always looking for ways to make the next design more robust than the last. Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our Attitude and Orbit Control Systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation architectures to maintenance and optimization of existing systems we and our customers operate. We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launched to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry. You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Design and develop embedded electronics hardware (schematic and layout) for mission-critical onboard systems, using Altium Designer and/or Mentor Graphics PADS. - Design digital control and interface circuitry around microcontrollers and/or FPGAs, including sensor and actuator interfaces, protection circuits, and fault handling. - Own the complete lifecycle of the hardware you create, from development and testing through handover to the missions team, and troubleshooting of in-orbit issues. - Work closely with firmware, mechanical engineers, and systems engineers to define hardware interfaces and develop joint verification test cases. - Take ownership of your electronics, including verification testing and writing documentation. - Support on-orbit troubleshooting for hardware you have developed, as needed WHAT WE’RE LOOKING FOR Must haves: - Master’s or Bachelor’s degree in electrical engineering, computer engineering, physics, or another relevant discipline. - 5+ years developing electronics (schematic and layout) using Altium Designer and/or Mentor Graphics PADS. - Strong experience in digital and embedded control electronics, including microcontroller/FPGA interfacing (ADC, PWM, GPIO), sensor and actuator interfaces, and protection circuitry (overcurrent/overvoltage detection, fault handling, safe-state transitions). - Experience designing serial communication hardware (e.g. I2C, SPI, UART, RS485, CAN), including proper isolation and protection. - Working knowledge of high-speed and low-speed parallel interfaces relevant to embedded systems (e.g. JTAG, Ethernet, DDR/SRAM, Spacewire), as needed for the platforms you support. - Ability to work closely with firmware engineers to define hardware interfaces and develop joint verification test cases. Nice to haves: - Experience designing and testing high-reliability, safety-critical, and fault-tolerant systems. - Experience with power electronics design supporting embedded control systems. - Hardware debug experience, including familiarity with tools such as oscilloscopes, logic analyzers, protocol analyzers (SPI, CAN, Ethernet, or similar), and spectrum analyzers. - Programming skills, including C/C++, Python, and MATLAB, for firmware integration or hardware characterization. - Experience with revision control tools such as Git or SVN; comfortable working in Linux. - Familiarity with high-speed SERDES interfaces (e.g. JESD204a/b/c) is a plus for engineers supporting higher-bandwidth payload electronics. - Creative approach to problem solving, and ability to work effectively in a dynamic, fast-changing environment. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview - (on-site) Technical Interview based on a task - (on-site) System Design Workshop - (on-site) Final Values & Fit Interview with Director of Engineering - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Munich, Germany 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. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native German speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: Paris, France 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. En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles. En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité. Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise. Responsabilités Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients. Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production. Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise. Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie. Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA. Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement. Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux. Être un champion de la mission d'Anthropic sur le terrain. Profil recherché : Vous avez plus de 8 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature. Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle. Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production. Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes. • Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité. • Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives. • Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative. • Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout. • Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native French speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: Munich, Germany 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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: Georgia; Armenia; Serbia; Bangkok; Kyrgyzstan; Kazakhstan; Uzbekistan; Da Nang Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors. Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch. If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. ABOUT THE ROLE You'll build and own Salmon's Frontline Employees Database — the internal system that runs HR and operational processes for around 4,000 frontline employees. WHAT YOU'LL DO - Start with Frontline DB, which brings together employee and candidate profiles, access and account data, time-off information, shift planning, and selected operational results — with a backlog of initiatives across development, integrations, data mapping, documentation, and process improvement. - Own solutions end to end: dig into the business need, clarify requirements with stakeholders, propose a practical approach, and turn it into a working MVP. - Work directly with HR, Operations, People Partners, and Support, and over time extend scope into integrations with HiBob, Ashby, and other internal systems. WHAT YOU'LL OWN - Develop and improve PostgreSQL data structures for custom internal solutions. - Design, build, and maintain automation and integration workflows in n8n. - Build internal applications, forms, and user interfaces in Retool. - Integrate HR and enterprise systems through REST APIs, webhooks, and other integration methods, with custom logic in Python and/or JavaScript. - Test, troubleshoot, document, and maintain what you build — and handle internal support requests for existing tools and workflows (about 20% of the role). - Grow MVP solutions into reliable internal products as processes and needs evolve. WHAT MAKES YOU A STRONG FIT - Confident SQL skills and experience with relational databases — you can query, validate, and interpret data independently. - Hands-on experience with n8n, Make, or another low-code automation platform. - Experience with Retool or another platform for building internal applications and forms. - Working knowledge of Python and/or JavaScript for scripting and automation. - Understanding of REST APIs, webhooks, and common integration patterns, plus a basic grasp of testing, debugging, and error handling. - A proactive working style — you read incomplete requirements, make reasonable technical decisions independently, and know when to escalate — with good English for working with international stakeholders. WHAT WE OFFER Build what's next in Southeast Asian fintech. OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity and paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

Location: Poland; Romania; Lithuania; Latvia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Application Architect to join our dynamic team on a full-time basis. What You will do: - Translate ambiguous business requirements into a clear, well-structured technical architecture; - Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable; - Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy); - Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind; - Architect data storage strategies across relational and non-relational databases, including schema design and query optimization; - Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS); - Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start; - Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow; - Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them; - Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders; - Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap; - Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute. Requirements - 7+ years of overall software development experience; - 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns; - Higher education in Computer Science (software development, etc.); - Extensive experience working with AI and the process of implementing/configuring it within a team; - Experience in fintech, banking, or other regulated/high-compliance domains; - Proven experience designing distributed, microservice-based, and/or high-load systems; - Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility; - Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions; - Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture; - Strong knowledge of containerization and orchestration (Docker, Kubernetes); - Experience with CI/CD pipelines and modern DevOps practices; - Golang (design of scalable, distributed backend systems); - Concurrency patterns in Go (goroutines, channels, sync primitives); - System design for high performance and maintainability; - CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.); - Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing); - Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders; - Experience conducting architecture reviews and writing design documentation (ADRs, technical specs); - Readiness to work from 9 till 18 CEST; - Readiness to practical task (live coding in Go) during the interview with the client. Would be a plus: - Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis); - Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns; - Experience with Domain-Driven Design (DDD) or Event-Driven Architecture; - Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role; - Familiarity with additional languages (Java, Python, C++) for cross-team collaboration; - Experience integrating AI/LLM components into production systems; - Contributions to open-source Go projects or internal frameworks/libraries; - Experience with SRE practices (SLI/SLO, error budgets, incident response); - Relevant certifications (AWS/GCP/Azure architecture certifications).

Задачи: - Разработка и рефакторинг серверных методов (backend) на одном из языков: Python, Java или Go. - Работа с базами данных под руководством ментора. - Диагностика и исправление ошибок в существующем коде. - Написание модульных и интеграционных тестов. - Изучение технической документации и участие в планировании задач. - Периодическая доработка фронтенд‑компонентов. Требования: - Начальные знания одного из языков: Python, Java или Go (умение написать простой серверный метод или скрипт). - Базовые навыки работы с JavaScript. - Понимание принципов реляционных и NoSQL‑баз данных. - Мотивация и готовность обучаться использовать незнакомые технологии.

Задачи: • Анализировать бизнес-процессы в снабжении, продажах, производстве и документообороте; • Находить этапы, которые отнимают много времени, тормозят работу или приводят к ошибкам; • Разрабатывать внутренние инструменты для сотрудников: скрипты, таблицы, чат-боты и другие решения; • Настраивать и дорабатывать Google Таблицы, amoCRM, 1С и другие сервисы; • Интегрировать учётные системы, приложения и AI-модели через API; • Применять GPT, Claude Code и другие AI-инструменты для решения реальных задач компании; • Автоматизировать сбор и обработку данных; • Использовать ИИ для сравнения цен поставщиков и поиска возможностей снизить затраты на закупку материалов; • Оценивать результат каждой автоматизации в цифрах: сколько времени и денег она сэкономила компании. Требования: • Специалиста с инженерным и системным мышлением; • Человека, который видит рабочий процесс как понятный алгоритм и понимает, как его улучшить; • Уверенного пользователя Python и Google Таблиц; • Специалиста с опытом интеграции разных систем через API; • Человека, который умеет создавать или настраивать чат-ботов; • Кандидата с реальными кейсами применения ИИ в бизнесе; • Самостоятельного специалиста, способного разобраться в задаче и предложить работающее решение. Условия: • Стабильная и прозрачная оплата труда; • Выплаты два раза в месяц; • График 5/2, с 9:00 до 18:00 часов; • Возможность напрямую влиять на эффективность производственной компании; • Реальные задачи, результаты которых можно измерить в часах, деньгах и скорости работы.

Задачи: — Развёртывание и конфигурация Matrix-хоумсервера на инфраструктуре заказчика. — Настройка отказоустойчивости и масштабирования backend-инфраструктуры. — Интеграция аутентификации и корпоративных сервисов безопасности. — Разработка кастомных серверных модулей под требования. — Настройка аудита, логирования и мониторинга. — Обеспечение безопасности, нагрузочное тестирование и подготовка к аудиту. Требования: — Опыт Backend-разработчиком от 4 лет. — Коммерческий опыт работы с Matrix (Synapse / Dendrite / Element) - обязательно. — Готовность к релокации в Саудовскую Аравию на 3 месяца (релокацию оплачиваем) - обязательно. — Senior-уровень backend-разработки: Python (Synapse - Python/Twisted) и/или Go. — Глубокий опыт с PostgreSQL : репликация, оптимизация запросов, HA. — Redis (кэширование, Pub/Sub). — Docker, CI/CD, уверенное администрирование Linux. — Опыт с self-hosted / on-premise инфраструктурой и объектным хранилищем (MinIO / S3 / Ceph). — Nginx, TLS/HTTPS. — Понимание принципов E2EE, криптографии и безопасной архитектуры (zero-trust, defense-in-depth). — Опыт интеграции LDAP/AD и SSO (SAML 2.0 / OIDC). — Разговорный английский (проект международный, коммуникация с заказчиком). Будет плюсом: — Опыт с WebRTC. — Elasticsearch / OpenSearch. — Опыт интеграции ICAP / антивирусных решений (ClamAV). — Опыт с SIEM, compliance и аудитом (immutable/WORM-логи). — Опыт на международных enterprise / госпроектах с повышенными требованиями к ИБ.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience. This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response model, and quality bar. You'll use telemetry and machine learning to identify issues early and help resolve them. Because Monetization changes can directly affect revenue and often involve confidential or financial information, you'll use strong judgment, careful rollout practices, and a high bar for reliability. This role is opening at the Staff Backend Engineer level (grade 8). What you’ll do Design, build, and operate observability across the Monetization stack, including metrics, logs, and traces, using tools such as Prometheus and Grafana. Implement automated detection for billing, data, and event anomalies, and route alerts to the responsible feature teams. Develop reconciliation and data integrity checks across usage and billing pipelines. Define and track service level objectives and service level indicators, write runbooks, and take part in incident response to measure and improve Monetization system reliability. Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution. Review and offer feedback on merge requests from other Monetization engineers. Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling. What you’ll bring Professional experience with Ruby on Rails, including building and operating applications such as CustomersDot. Experience in site reliability or observability engineering, including monitoring, alerting, service level objectives and indicators, runbooks, and incident response. Experience setting technical direction for observability, reliability, or detection work and bringing other engineers along. Experience building anomaly detection, monitoring, or risk management tooling. Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry. Exposure to analytical data stores such as ClickHouse and the change data capture and event-streaming pipelines that feed them, including NATS JetStream. Experience owning projects from concept through production, communicating clearly about complex technical and organizational problems, and proposing iterative solutions. Working knowledge of Python for anomaly detection and data work, or experience with billing, financial, or other business-critical systems, including Zuora or Salesforce, is a plus. About the team The Observability, Monitoring, and Integrations team is part of GitLab's Monetization section, a highly cross-functional group that partners with Sales, Finance, IT, and Support to deliver secure and reliable purchasing, billing, provisioning, and utilization workflows. The Monetization section includes the Purchase, Subscription Lifecycle, Billing Engine, Platform and Infrastructure, Observability, Monitoring, and Integrations, and Compliance teams. This role is on the Fulfillment Workflow Monitoring (Catch All) team and reports to the Engineering Manager, Observability, Monitoring, and Integrations. We work asynchronously, plan and reflect regularly, and share responsibility for deployments, incident management, testing, and safe rollouts. We're increasingly focused on how artificial intelligence and machine learning can improve our Monetization infrastructure and provide predictive insights. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: - Разработка и рефакторинг серверных методов (backend) на одном из языков: Python, Java или Go. - Работа с базами данных под руководством ментора. - Диагностика и исправление ошибок в существующем коде. - Написание модульных и интеграционных тестов. - Изучение технической документации и участие в планировании задач. - Периодическая доработка фронтенд‑компонентов. Требования: - Начальные знания одного из языков: Python, Java или Go (умение написать простой серверный метод или скрипт). - Базовые навыки работы с JavaScript. - Понимание принципов реляционных и NoSQL‑баз данных. - Мотивация и готовность обучаться использовать незнакомые технологии.