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adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

Задачи: — Разработка и поддержка backend на PHP 8+ / Laravel 9+; — Интеграция и сопровождение платежных провайдеров; — Реализация платежных сценариев (депозиты, выплаты, webhook, callback); — Работа с очередями, фоновыми задачами и внешними API; — Взаимодействие с Go-сервисами через REST API, Kafka, NATS; — Оптимизация производительности, рефакторинг и поддержка существующего кода; — Написание тестов, участие в Code Review и документировании решений; — 70% задач — интеграция и поддержка платежных провайдеров, 30% — развитие и поддержка Laravel-платформы. Требования: — Опыт коммерческой разработки на PHP от 5 лет; — Уверенное знание PHP 8+, Laravel 9+; — Опыт работы с MySQL, Redis; — Опыт интеграции платежных систем и внешних API; — Понимание принципов работы webhook, идемпотентности, ретраев и обработки ошибок; — Опыт работы с очередями (Kafka, NATS или аналогами); — Знание Git, Docker, CI/CD, Kubernetes, GitLab CI; — Опыт написания тестов (PHPUnit/Pest); — Понимание микросервисной архитектуры и взаимодействия сервисов. Условия: — Работа в сильной команде и интересные технические вызовы; — Конкурентная зарплата 250-300 тыс. ₽; — Современный стек и продвинутая инфраструктура; — Возможность влиять на архитектурные решения; — Удалённый формат, гибкий график.

Задачи: — Разработка и поддержка интерфейсов на React 17/18 и создание масштабируемых SPA. — Интеграция с backend-сервисами через REST, GraphQL API и WebSocket. — Работа с дизайн-системами, компонентными библиотеками и адаптивная кроссбраузерная верстка. — Участие в архитектурных решениях, проведение code review и оптимизация скорости загрузки. — Разработка и поддержка тестов (unit, интеграционные, e2e). Требования: — Опыт коммерческой разработки на React от 5-6 лет. — Глубокие знания JavaScript (ES6+, event loop, асинхронность) и TypeScript (generics, conditional types). — Опыт построения архитектуры SPA и работы с микрофронтендами (Module Federation). — Владение инструментами сборки (Webpack, Vite) и Git. — Опыт работы с Next.js (SSR/SSG) и высоконагруженными системами. — Навыки менторинга, опыт настройки CI/CD и базовые знания Docker. Условия: — Полностью удаленный формат работы — возможность трудиться из любого города мира. — Соблюдение принципов work-life balance для гармонии работы и личной жизни. — Своевременные выплаты и работа над интересными проектами в крупных компаниях. — Корпоративная библиотека и скидки от партнеров на обучение и английский язык. — Открытая корпоративная культура с горизонтальным общением на «ты».

Задачи: — Разработка и сопровождение backend-сервисов на Python — Проектирование и развитие REST API и интеграционных взаимодействий между сервисами — Работа с брокерами сообщений и асинхронным взаимодействием сервисов — Оптимизация производительности приложений и SQL-запросов — Участие в code review, проработке технических решений и развитии архитектуры — Участие в анализе и устранении дефектов, сопровождении сервисов в промышленной среде — Взаимодействие с разработчиками, аналитиками, QA и DevOps-инженерами в рамках командной разработки Требования: — Опыт коммерческой разработки на Python от 3 лет — Уверенное знание Python 3, понимание ООП и принципов разработки ПО — Опыт разработки backend-приложений с использованием FastAPI и SQLAlchemy — Опыт работы с LLM, понимание устройства API взаимодействия с LLM (OpenAI, ...) — Опыт проектирования и разработки REST API — Опыт работы с реляционными БД и уверенное знание SQL — Опыт работы с Kafka или другими брокерами сообщений — Понимание принципов микросервисной архитектуры — Опыт работы с Docker, Git и CI/CD-процессами

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Staff Software Engineer to join the OEX Mobile Growth team — a pure mobile team sitting at the intersection of engineering rigour, consumer growth craft, and product instinct. This is not a feature delivery role. You will sit upstream of requirements, shape initiatives alongside product and business stakeholders, and own the engineering end-to-end on growth bets that move real metrics for millions of users. The ideal profile combines a solid engineering foundation, hands-on growth experience serving mobile users, and the conviction to bring proposals, not just execute them. What You'll Be Doing Own the full engineering lifecycle of mobile growth initiatives - from shaping the brief with product and business through to production launch and iteration. Build and optimise growth systems - including funnel instrumentation, referral mechanics, acquisition loops, and experiment frameworks — directly serving the mobile user base. Collaborate closely with Product Manager, Business Development, and local market teams across multiple regions to translate commercial goals into concrete, data-backed engineering proposals. Apply AI coding tools actively in your workflow to accelerate development, improve code quality, and bridge across tech stacks where needed. Drive technical decision-making on growth infrastructure, articulating trade-offs clearly and defending or revising your positions based on evidence. Mentor engineers on the team and help establish a culture where engineers bring solutions, not just responses. What We Look For In You 8+ years of software engineering experience with a track record of shipping production-quality systems at scale. Hands-on growth engineering experience — funnel optimisation, experiment frameworks, acquisition or referral systems — in a consumer-facing (ToC) product context. Understanding of mobile users: how they behave, what drives retention and conversion, and how mobile-native growth mechanics differ from web. Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks. Outspoken and proposal-driven: you come to the table with a point of view, push back when you disagree, and bring data and a counter-proposal rather than just flagging concerns. Strong cross-functional communication — comfortable working with Product Manager, Business Development, and local markets to align on goals and hold the line on engineering quality. Data instincts: you think in funnels, know how to instrument what matters, and use metrics to drive decisions. Nice-To-Haves Mobile development experience in iOS (Swift/Objective-C) or Android (Kotlin/Java) — or backend experience building growth systems that serve mobile apps directly (e.g. growth APIs, attribution pipelines, notification infrastructure). Experience with Rust or other systems languages — especially candidates who have recently migrated from mobile-native stacks and are building fluency in backend tooling. Depth in mobile attribution and MMPs (AppsFlyer, Adjust, SKAdNetwork). ASO operational experience (App Store Connect, Google Play Console). Experience building referral systems, k-factor mechanics, or anti-fraud layers. Background in fintech, crypto, or regulated consumer financial products. Experience operating across US, EEA, and APAC markets. A/B experiment framework ownership at meaningful scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong . Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for an experienced engineering leader to join our Mobile team and drive high-quality product delivery across iOS and Android. In this role, you will lead and grow a team of mobile engineers, set technical direction, and work closely with cross-functional partners to ship features that serve millions of users globally. We are actively embedding AI into how our teams build and operate and we're looking for a leader who embraces that shift and brings others along with them. What You'll Be Doing Lead, mentor, and develop a mobile engineering team, driving ownership and accountability across project milestones. Provide hands-on technical guidance on mobile development, architecture, and engineering best practices. Champion the adoption of AI tools and workflows across the team - from code generation and review to testing and incident analysis with a goal to raise the quality and velocity of delivery. Own end-to-end delivery of mobile features and initiatives, ensuring quality, timelines, and alignment with business objectives. Collaborate with Product Managers, Designers, Backend Engineers, and other stakeholders to align on goals and execute effectively. Serve as the go-to technical expert for complex mobile challenges, maintaining the robustness and scalability of our applications. What We Look For In You 8+ years of mobile engineering experience, with at least 3 years in a team lead or management role. Proven ability to lead and grow engineering teams, with strong judgement and a high level of drive. Solid technical expertise in iOS or Android development, with a good understanding of the broader mobile ecosystem. Actively uses AI tools in your engineering workflow - you don't just know about them, you've integrated them into how you and your team work. Strong communicator who can align cross-functional teams and work effectively across stakeholders at different levels. Comfortable navigating ambiguity and making sound technical and product decisions in a fast-paced environment. Nice-To-Haves Experience shipping AI-powered features in a mobile product - personalisation, intelligent search, on-device inference, or similar. Experience in fintech, crypto, or other high-scale consumer app environments. Familiarity with mobile performance optimisation at scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for an experienced engineering leader to join our Mobile team and drive high-quality product delivery across iOS and Android. In this role, you will lead and grow a team of mobile engineers, set technical direction, and work closely with cross-functional partners to ship features that serve millions of users globally. We are actively embedding AI into how our teams build and operate and we're looking for a leader who embraces that shift and brings others along with them. What You'll Be Doing Lead, mentor, and develop a mobile engineering team, driving ownership and accountability across project milestones. Provide hands-on technical guidance on mobile development, architecture, and engineering best practices. Champion the adoption of AI tools and workflows across the team - from code generation and review to testing and incident analysis with a goal to raise the quality and velocity of delivery. Own end-to-end delivery of mobile features and initiatives, ensuring quality, timelines, and alignment with business objectives. Collaborate with Product Managers, Designers, Backend Engineers, and other stakeholders to align on goals and execute effectively. Serve as the go-to technical expert for complex mobile challenges, maintaining the robustness and scalability of our applications. What We Look For In You 8+ years of mobile engineering experience, with at least 3 years in a team lead or management role. Proven ability to lead and grow engineering teams, with strong judgement and a high level of drive. Solid technical expertise in iOS or Android development, with a good understanding of the broader mobile ecosystem. Actively uses AI tools in your engineering workflow - you don't just know about them, you've integrated them into how you and your team work. Strong communicator who can align cross-functional teams and work effectively across stakeholders at different levels. Comfortable navigating ambiguity and making sound technical and product decisions in a fast-paced environment. Nice-To-Haves Experience shipping AI-powered features in a mobile product - personalisation, intelligent search, on-device inference, or similar. Experience in fintech, crypto, or other high-scale consumer app environments. Familiarity with mobile performance optimisation at scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Разработка и развитие backend-сервисов на Go; — Проектирование микросервисной архитектуры; — Реализация event-driven взаимодействия между сервисами (Pub/Sub, очереди); — Работа с WebSocket-соединениями и real-time потоками данных; — Проектирование и реализация gRPC API; — Разработка логики финансовых расчётов (decimal-арифметика, точность, атомарность операций); — Обеспечение ACID-гарантий и атомарных транзакций; — Оптимизация производительности и снижение latency; — Работа с нагрузкой 1000+ TPS в пиковых значениях; — Проектирование схем баз данных и оптимизация запросов; — Участие в решении задач масштабирования и отказоустойчивости; — Написание unit и integration тестов; — Участие в code review и технических обсуждениях. Требования: — 5+ лет коммерческой backend-разработки (из них 3+ лет конкретно на Go); — Глубокое понимание concurrency в Go (goroutines, channels, context); — Понимание принципов микросервисной архитектуры; — Опыт построения event-driven систем; — Опыт работы с очередями и брокерами сообщений; — Уверенная работа с MySQL (индексы, транзакции, оптимизация); — Понимание финансовой арифметики (decimal, точность вычислений, отсутствие float-ошибок); — Опыт работы с Redis; — Понимание принципов построения low-latency систем; — Опыт работы с Docker и Git; — Уверенная работа в Linux-окружении. Будет плюсом: — Опыт работы в доменах: CEX, DEX, Market making, Fintech, Payments; — Опыт работы с высоконагруженными системами (1000+ TPS); — Опыт построения real-time систем (WebSocket, streaming); — Опыт работы с gRPC; — Понимание circuit breaker, retry-политик, backoff-стратегий; — Опыт внедрения мониторинга (Prometheus, Grafana); — Понимание принципов горизонтального масштабирования; — Опыт работы с Kubernetes. Условия: — Полностью удалённый формат работы из любой точки мира; — Участие в разработке сложного высоконагруженного продуктового решения; — Реальная инженерная свобода и прямое влияние на архитектуру; — Комфортные варианты выплат в USD / USDT / RUB.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for a FullStack Engineer with a strong backend focus to help build and scale Enterprise products. You will work closely with Product and Engineering teams to develop partner-facing experiences, widgets, and internal applications. Responsibilities Build and maintain frontend applications, widgets, partner portals, and landing pages. Design and implement backend services and APIs. Prototype new partner integrations and B2B solutions. Work closely with Product Managers and Designers from requirements to production. Own features end-to-end, including deployment and support. Participate in code reviews and architecture discussions. Actively leverage AI tools to accelerate development and increase productivity. Requirements Backend Commercial experience with Node.js and TypeScript. Experience building and maintaining REST APIs. Good understanding of PostgreSQL and Redis. Understanding of asynchronous patterns and message queues. Familiarity with JWT and OAuth2. Frontend Strong JavaScript and TypeScript skills. Solid experience with React or Angular. Experience building responsive web applications. Experience with component-driven architecture and reusable UI patterns. Experience with HTML, CSS, SCSS, and modern frontend tooling (Webpack, Vite, ESLint, Prettier). Experience writing UI tests using Jest or similar frameworks. Engineering Fundamentals Strong Git workflow and code review practices. Experience with CI/CD and GitLab CI. Docker and local development environments. Comfortable working with Linux and CLI tools. Understanding of software architecture and distributed systems concepts. AI-First Engineering Experience using Cursor, GitHub Copilot, Claude Code, or similar tools. Experience with AI-assisted coding, debugging, and documentation. Understanding of prompt engineering and LLM capabilities. AI-first mindset and willingness to continuously learn. Nice to Have Experience with Web3 or blockchain products. Experience integrating third-party APIs (payments, KYC providers, etc.). Familiarity with Kubernetes and GitOps. Experience integrating OpenAI, Anthropic, or other LLM APIs. Experience with Next.js and SSR. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Tallinn, Estonia Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; New Delhi, India; Dubai, United Arab Emirates About the Role: We are looking for a senior SAP Finance consultant with deep S/4HANA Cloud expertise and mandatory ZATCA Phase 2 experience to lead the Finance workstream for a KSA-based client. This is the most critical functional role on the program. Key Responsibilities Lead Fit-to-Standard workshops for all Finance processes Configure GL, AP, AR, Asset Accounting across 4 company codes Own ZATCA Phase 2 e-invoicing compliance end-to-end Design and configure multi-legal-entity financial structure Lead data migration for financial master data and open items Support UAT and resolve finance-related issues during go-live Coordinate with CO consultant on cross-functional finance topics Requirements 7+ years SAP FI consulting experience Minimum 2 S/4HANA Cloud Public Edition implementations ZATCA Phase 2 clearance model go-live is mandatory — candidates without this will not be considered Strong knowledge of IFRS and multi-company code configuration Experience with cash management, bank integration, and advanced payment processing SAP Fiori Finance apps configuration experience KSA market experience strongly preferred

Location: Malaysia Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required Insurtech experience is preferred Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills is a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Makati City, Philippines; Philippines Top 3 Reasons To Join Us International Environment 100% Remote Exposure to Diverse HR Functions About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role We are seeking a motivated and enthusiastic Human Resources Intern to join our HR team. This is a fantastic opportunity for a student or recent graduate who is looking to gain practical experience in a dynamic and fast-paced environment. The HR Intern will assist with various HR tasks and projects, including recruitment, employee onboarding, HR administration, and employee engagement initiatives. What You Will Do Assist with recruitment activities, such as posting job ads, screening resumes, and scheduling interviews Support the onboarding process for new hires Assist with HR administrative tasks, including but not limited to maintaining employee records and updating HR databases Organize employee engagement initiatives and events Contribute to HR projects and process improvements Provide general HR support as needed What We Need Currently enrolled in a Bachelor's degree program in Human Resources, Business Administration, or a related field, or a recent graduate Strong organizational and time management skills Excellent communication and interpersonal skills Ability to maintain confidentiality and handle sensitive information Proficiency in Google Workspace Keen attention to detail Proactive and willing to take initiative Ability to work collaboratively in a team environment Positive attitude and eagerness to learn Must be based in the Philippines Note: We can only accommodate unpaid and voluntary internships at the moment. Why You'll Love Working Here Remote Setup International Environment Professional Development Opportunities Company activities and events CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Global Workplace & Real Estate team is delivering a rapidly expanding global portfolio — including full-building offices at the scale of ~450,000 SF that combine commercial kitchens, executive briefing centers and event space, high-end amenities, and the elevated power, cooling, and security infrastructure our work requires. We're hiring a Real Estate Construction Manager to lead the technical delivery of these projects from pre-construction through closeout and to serve as our primary technical counterpart to general contractors, design teams, and specialty vendors. This is a hands-on construction leadership role, not a design role. You will own how our projects get built: delivery method and contracting strategy, GC selection and oversight, MEP and specialty-systems coordination, cost and schedule control, and commissioning.  Executing the design direction is set by the Global Head of Real Estate & Workplace and our architects. You will also lead and develop a team of project managers delivering across the global portfolio. This role reports to the Global Head of Real Estate & Workplace. Key responsibilities Pre-construction & technical delivery Lead pre-construction on complex buildouts: constructibility and design/drawing reviews, MEP and structural coordination, estimating support, value engineering, and development of the GMP or bid package. Recommend and own the delivery method and contracting strategy for each project (e.g., GMP, lump sum, CM-at-risk, design-assist), matching the approach to scope, schedule, and risk. Read and interpret architectural, structural, and MEP drawings and specifications; surface gaps, conflicts, and risk before they reach the field. Coordinate technically demanding scopes — commercial kitchens (Type I hoods, make-up air, grease and UL300 fire-suppression systems, utility upsizing), high-performance AV and acoustics for executive and event spaces, server/IDF rooms with redundant power and supplemental cooling, elevated power density, and integrated physical security. Manage permitting and inspections with authorities having jurisdiction across multiple markets and labor environments. Construction execution, quality & closeout Oversee construction from mobilization through closeout across multiple concurrent projects, holding general contractors accountable to schedule, budget, safety, and quality. Run the technical processes that keep a job on track: RFIs, submittals and shop drawings, ASIs, and BIM/clash coordination across trades; lead owner-architect-contractor and trade-coordination meetings. Conduct site visits to monitor progress, safety, and quality control; enforce inspection protocols and punch-list management. Drive commissioning and closeout — systems commissioning (including kitchen exhaust/MUA balancing, BMS, and life-safety), TCO/CO, as-builts, O&M manuals, warranties, attic stock, and owner training. Ensure compliance with local building codes, ADA requirements, and Anthropic's sustainability goals. General contractor, vendor & contract management Serve as the primary point of contact for general contractors, subcontractors, and external project managers, holding them to clear communication and accountability. Lead GC selection end to end: pre-qualification/RFQ, RFP/ITB, bid leveling and scope normalization, scope-gap detection, and award — and structure the contract (GMP fee, general conditions/requirements, allowances, contingencies, qualifications, and exclusions). Negotiate and administer contracts with contractors, vendors, and consultants; manage GC performance throughout construction, including schedule adherence, change-order management, safety compliance, and closeout. Determine which trades and specialty vendors to carry under the GC vs. hold owner-direct, and manage critical long-lead vendors (kitchen equipment, AV, architectural millwork, switchgear/generator). Develop and maintain landlord and property-management relationships to facilitate approvals and ongoing operations. Cost & commercial controls Build and own detailed budgets by trade/CSI division — separating hard costs, soft costs, FF&E, technology, allowances, and escalation — and manage design, construction, and GC contingencies deliberately. Review and approve budgets, change orders, and invoices, including schedule-of-values setup, pay-application review (e.g., AIA G702/G703), retainage, and lien waivers, providing professional pushback to protect Anthropic's interests. Govern the change-order process (PCO to CO, markups, substantiation) and distinguish legitimate changes from scope gaps the contractor should have carried. Lead value engineering that protects scope and design intent; maintain cost forecasting and reporting throughout each project. Team leadership Directly manage and develop a team of Real Estate / Construction Project Managers delivering projects across the global portfolio. Set technical standards, playbooks, and performance expectations; balance workload across the team by project complexity and development goals. Coach the team through complex technical and commercial problem-solving; review progress, identify blockers, and course-correct. Foster a culture of ownership, continuous improvement, and knowledge sharing, and structure the function to support rapid growth. Stakeholder management & communication Partner closely with internal stakeholders — Security, IT, Facilities, Finance, and business teams — to ensure technical and operational requirements are built into project plans. Create executive-level presentations and reporting on project status, budget, schedule, and risk, with clear recommendations. Craft clear communications to the broader employee population about office changes, construction impacts, and workspace enhancements. Minimum qualifications Hold a Bachelor's degree in Construction Management, Engineering, Architecture, Real Estate, or a related field. Bring deep, hands-on construction expertise — reading and interpreting architectural, structural, and MEP drawings and specifications, and running the field from them. Command construction delivery methods and contract structures — GMP, lump sum, cost-plus, and design-assist — and the mechanics of change-order management. Have delivered technically complex scopes — e.g., commercial kitchens, high-end client/amenity and event spaces, data/server rooms with redundant power and cooling, and integrated security systems. Are strong in pre-construction — constructibility review, estimating, value engineering, and bid leveling. Command cost and commercial controls — budgeting by division, schedule of values, pay-application review, change-order governance, and contingency management. Have managed budgets for projects ranging from $50M to $300M+, and multiple complex projects concurrently. Have navigated permitting and inspections across multiple jurisdictions, in union and non-union environments. Have directly managed and developed project managers through full project lifecycles, and can scale a delivery function for rapid growth. Are proficient with construction PM software (e.g., Procore) and CPM scheduling tools (e.g., Primavera P6 or MS Project), plus MS Office. Possess excellent verbal and written communication skills, with the ability to tailor messages from the C-suite to the general population. Are willing to travel 25–50% to various office locations. Preferred qualifications Have 10+  years in corporate real estate construction management, general contracting, or a related field, with a track record of delivering complex office buildouts on time and on budget. Hold PMP (or equivalent) and OSHA 30 certifications. Possess LEED accreditation or demonstrated experience with sustainable building practices. Have commissioning experience on technically complex base-building or tenant systems. Bring an established network of general contractors, subcontractors, and specialty vendors. Have international project experience and an understanding of building standards and permitting across different countries. Have worked in high-growth technology environments, particularly those scaling from 500 to 5,000+ employees. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; New York (Hybrid) Workplace: Remote Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1 whose public mainnet is now live. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE We are looking for an exceptional compiler engineer to work on challenging greenfield projects that accelerate bytecode execution. For example, you will you will work on a bytecode execution graph builder which will enable speculative pre-execution of potential control flow paths. Your work will require intensive research and engineering and will help accelerate a platform securing billions of dollars in value. Experience with crypto is not expected. WHAT YOU WILL DO - Work on greenfield performance-oriented projects in a fast-moving startup environment - Research ideas for accelerating EVM bytecode execution - Design and implement performant production systems WHO YOU ARE - Proven track record in compiler design and system architecture - Strong background in software engineering principles principles - Experience with industry-standard compiler technologies - Good understanding of testing and benchmarking - Industry and/or academic experience working on compilers for parallel architectures - Strong C++ programming skills - Knowledge of type theory is a plus WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. You’ll build in the open, and your work ships where the whole ecosystem can see it. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive a competitive salary and equity package. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect engineers to use coding agents and keep up as the tooling evolves. A few things we believe: - AI is leverage, not a crutch. Review what it generates with the same scrutiny you’d give a teammate’s PR, and own every line you ship. - Judgment is what matters, not how long you typed by hand. We won’t ask for “N years of [tool].” The stack turns over every few months, so what matters is that you pick up new tools fast and know where and when they apply. SALARY AND BENEFITS The base salary range for this role is $180,000 – $250,000. This reflects the minimum and maximum range across US locations. It does not include benefits, token, or equity incentives. The final offer may vary based on factors such as relevant skills, experience, domain expertise, and work location. If you are based outside of the US, we have geographic considerations that may impact your final compensation. Benefits for all Full-Time Employees: - Private health insurance options - Flexible paid time off - Monthly wellness reimbursement - Paid parental leave Benefits for US employees: - World-class benefits package with 100% paid medical, dental, and vision insurance including 75% coverage for dependents and HSA + FSA options - 401(k) with company match - Lunch and dinner stipend (in-office NYC) Benefits for employees hired through an EOR (outside of the US) will be based on EOR offerings and country-specific requirements. Category Labs is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.