Вакансии

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role We’re looking for a Staff Infrastructure Engineer with GCP, Azure, or AWS expertise to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP. Our team’s mission is to create a seamless developers experience by providing a stable, observable, and easy-to-use infrastructure platform. Over the past year, we’ve designed and operationalized a next-gen cell-based architecture, scaling the dbt platform across all three cloud providers. Now, we’re focused on automation, self-service, and improving developer velocity through better tooling, processes, and infrastructure design. As an Staff engineer on our team, you’ll work on medium projects, helping to refine our platform while ensuring performance, reliability, and a great developer experience. You’ll collaborate across teams, solve real infrastructure challenges, and help shape the future of multi-cloud dbt Cloud. What You'll Do Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS, Azure, and GCP) - and work with engineering teams to get their services consistently deployed to those environments Bring cloud infrastructure expertise to the team, helping us strengthen and scale our infrastructure as we expand dbt Cloud’s multi-cloud capabilities. Help create a great developer experience while working with our close partners in Architecture, Release Engineering, Product Engineering and Security Leverage tools and languages such as Terraform, Kubernetes, Python, Bash, Helm, ArgoCD, Go, and DataDog Design and build automation to eliminate manual toil and streamline infrastructure operations at scale Identify and implement infrastructure optimizations that reduce cloud spend without sacrificing reliability Participate in a balanced on-call rotation in an environment that values continuous improvement, and help to upgrade our tooling and reduce toil Skills We're Looking For 10+ years of Experience with the clouds, tools, and languages in our stack, especially: AWS\Azure\GCP, Terraform, Kubernetes, Python, and Bash Solid experience with declarative Infrastructure as Code - ideally with Terraform or a willingness to learn while leveraging your CloudFormation or ARM\Bicep background Love to automate tasks Worked asynchronously as part of a fully-remote, distributed team - and have excellent communication and writing skills Prior experience in a multiple cloud environment More extensive Kubernetes administration and troubleshooting background #LI-HYBRID #LI-JI1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Обязанности: • Проведение мероприятий на дне открытых дверей • Проведение занятий, по предоставленным методикам, в группе учеников до 10 человек • Ведение отчетности • Участие в жизни нашего проекта Требования: • Опыт работы с детьми школьного и дошкольного возраста, желательно от 1 года и больше • Высшее или неоконченное высшее образование: • Педагогическое образование по профилю информатики и(или) математики • Инженерно-технологическое образование по профилю программирования, моделирования, прикладной информатики, цифровым технологиям, компьютерным наукам • Знание основ программирования на любом высокоуровневом языке (Python, C++, C#, Java, JS) • Знание основ компьютерной грамотности • Знание и использование методик преподавания на группу детей до 10 человек • Фантазия, наличие творческих и ораторских способностей • Общительность и способность заинтересовать детей Мы предлагаем: • Конкурентоспособная заработная плата • Интересное дело, с возможностью постоянного развития своих способностей • Дружная команда молодых специалистов, готовых всегда прийти на помощь • Прохождение обучения авторским методикам для улучшения своей квалификации и возможности работать с разными курсами • Полная методическая поддержка, обеспечение всеми материалами, поурочным планом и методикой на каждый урок • Занятость по желанию (будние или выходные дни, гибкий график) • Постоянное развитие, повышение квалификации • Современный комфортный офис в 1 минуте от метро • НЕ полный рабочий день, совмещение с другой работой ВОЗМОЖНО!

Задачи: - Разработка и обучение ML/DL-моделей для задач NLP и Computer Vision, возможен также classic ML. - Анализ и обработка данных. - Работа с PyTorch. - Тестирование и оптимизация моделей. - Подготовка модели к запуску в продакшене, участие в A/B тестах, поэтапных раскатках и мониторинге качества. - Поддержка существующих моделей. Требования: - Широкий прикладной ML-бэкграунд: опыт работы минимум с двумя направлениями из Computer Vision, NLP / LLM, classic ML (обучение моделей, интеграция их в реальные проекты). - Коммерческий опыт в Data Science / ML от 4 лет. - Уверенное знание Python и PyTorch. - Хорошее знание классического ML и современного DL (включая математику за ними). - Опыт самостоятельного ведения задач на разных этапах проекта. - Умение переводить бизнес-задачу в ML-постановку и предлагать практичные решения.

Задачи: - Разработка и обучение ML/DL-моделей для задач NLP и Computer Vision, возможен также classic ML. - Анализ и обработка данных. - Работа с PyTorch. - Тестирование и оптимизация моделей. - Подготовка модели к запуску в продакшене, участие в A/B тестах, поэтапных раскатках и мониторинге качества. - Поддержка существующих моделей. Требования: - Широкий прикладной ML-бэкграунд: опыт работы минимум с двумя направлениями из Computer Vision, NLP / LLM, classic ML (обучение моделей, интеграция их в реальные проекты). - Коммерческий опыт в Data Science / ML от 4 лет. - Уверенное знание Python и PyTorch. - Хорошее знание классического ML и современного DL (включая математику за ними). - Опыт самостоятельного ведения задач на разных этапах проекта. - Умение переводить бизнес-задачу в ML-постановку и предлагать практичные решения

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 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 Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $380,000 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: San Francisco, CA | New York City, NY | Seattle, WA 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. At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must! Responsibilities: Design, build, and maintain scalable features and infrastructure for AI-powered development tools Engage directly with developers inside and outside Anthropic to gather insights and improve user experience Collaborate with researchers to improve model capabilities through shared tools and evals Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments. You may be a good fit if you: Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity Spend a lot of time refining and customizing your AI workflows Have experience building and maintaining dev tools Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture Specialize in user experience engineering but are a capable full stack developer Have hands-on experience working with large language models and prompt engineering Have worked on projects with stringent safety, security and/or compliance requirements Care about the societal impacts and ethics of your work Have 6+ years of work experience Strong candidates may also have experience with: Building and maintaining CLI tools Working in large codebases and quickly jumping in to unfamiliar development environments Working with container orchestration and cloud infrastructure Scaling TypeScript projects Working with alternate JavaScript runtimes like Bun and Deno The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams. You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence. Key responsibilities Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards Advise on and advocate for privacy practices as a core part of how we approach AI safety Minimum qualifications Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale Experience designing and implementing privacy infrastructure for systems with a large user base Experience with data governance, classification, or data lifecycle management systems Experience with distributed systems and cloud infrastructure at scale Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs Experience conducting privacy reviews, threat modeling, or risk assessments Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams Preferred qualifications Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience building privacy infrastructure or controls for machine learning or AI systems Experience establishing a privacy engineering practice, or being an early hire in a function Experience serving as a technical lead on complex, multi-quarter projects Contributions to open-source privacy tooling, privacy research, or industry standards 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure 3+ years of experience leading large, complex projects as a technical lead 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Разработка и оптимизация высокопроизводительных C++ приложений для инфраструктуры трейдинга с низкой задержкой. — Улучшение подключения к биржам. — Работа с системами, где важна каждая микросекунда. О проекте: Клиент — proprietary trading компания, специализирующаяся на высокочастотной и алгоритмической торговле. Команда разрабатывает собственную инфраструктуру, рыночные подключения и количественные технологии для автоматизированной торговли. Стек технологий: C++17/20, REST, WebSockets, FIX, Python, Kafka, AWS, Kubernetes, Kibana, Grafana, Prometheus. Локация: Удалённая работа для кандидатов из Европы, Великобритании или Индии. Предпочтение кандидатам, готовым к переезду в Дубай (предоставляется полная поддержка релокации). Работа с: — высоконагруженными системами с низкой задержкой; — подключением к биржам; — производственной инфраструктурой трейдинга; — оптимизацией задержек; — взаимодействием с командами инженеров, трейдеров и аналитиков данных.

Location: United Kingdom What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote UK Compensation Range: £62,000 to £70,500 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set-up allowance (€480) Generous personal leave entitlements Digital monthly reimbursement (€111) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Ireland What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Ireland Compensation Range: €70,000 to €90,000 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set up reimbursement (£398) Generous personal leave entitlements Digital monthly reimbursement (£92) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: San Francisco, CA | Seattle, WA 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 We are seeking a Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business. This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions. Responsibilities Intake & Triage: Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows Tax Configuration: Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration Testing & Change Management: In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live Tax Data Analysis: Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team Controls & Evidence: Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure Cross Functional Collaboration: Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship Process Improvement & AI Tools: Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely Minimum Qualifications Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn Prioritize well and stay resilient when there is more work than time Preferred Qualifications Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives) Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data Python and data warehouse experience Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices Experience with marketplace facilitator rules or usage-based billing Familiarity with e-invoicing and real-time tax reporting requirements outside the US Experience standing up a recurring controls evidence cycle A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review Tax experience at a large or high growth technology company, such as a multinational SaaS business 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: $205,000 — $270,000 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: Ukraine Workplace: Remote What this role actually is This is a hands-on operational role. Your customers are our employees. The work is a mix of live support, access administration, endpoint and MDM management, onboarding and offboarding, equipment logistics, and documentation, plus improving those processes so the same problems stop coming back. You will own requests end-to-end rather than passing them along, work directly with non-technical colleagues, and handle several things at once on a busy day. Routine service work is a permanent part of the job, not a temporary phase before something else. Key Responsibilities - Own employee IT requests end-to-end: prioritize by impact and urgency, keep people informed, resolve, document, and prevent recurrence. - Administer user accounts, permissions, and access across Google Workspace, Atlassian, GitHub, and AWS, applying least privilege. - Run IT onboarding and offboarding: accounts provisioned on day one, access revoked promptly on exit, devices recovered. - Prepare, configure, and maintain macOS and Windows workstations through MDM: policies, software deployment, patching, encryption, and recovery. - Own IT equipment procurement, delivery, returns, and inventory accuracy for employees across supported locations, including international shipping and vendor coordination. - Troubleshoot hardware, software, network, and SaaS issues methodically: reproduce, isolate, verify. - Maintain IT documentation, knowledge-base articles, and asset records so support does not depend on one person being online. - Reduce repetitive work through practical scripting and automation, and improve support processes without weakening security controls. - Enforce IT security and access policies; recognize and escalate suspicious activity and access gaps. Requirements - 3+ years of hands-on experience in IT support, Service Desk, or system administration, with personal ownership of the areas above (not adjacent exposure while other teams handled them). - Practical experience supporting macOS in a production employee environment. - Hands-on MDM administration (Jamf, Kandji, Intune, JumpCloud, Hexnode, or similar): enrollment, policies, software deployment, compliance. - Administration of Google Workspace, plus at least two of: Atlassian, GitHub access management, or cloud IAM (AWS / GCP / Azure). - Demonstrated ownership of access lifecycle - joiners, movers, leavers - including approval flows and least-privilege practice. - Experience with equipment provisioning, inventory, and remote/international delivery. - Solid understanding of network fundamentals (DNS, DHCP, VPN, TCP/IP) and endpoint security basics (encryption, EDR, MFA/SSO). - Experience working in a ticketing system with SLAs, and maintaining written documentation. - Ability to handle a high volume of concurrent requests, interruptions, and difficult support situations while communicating calmly and clearly. - At least one concrete example of automating or redesigning a repetitive support process, where you can explain your own contribution and the measurable outcome. - Ukrainian: fluent. English: B1 or higher — enough to support colleagues, write tickets, and maintain documentation in an international company. Nice to Have - Scripting and automation (Bash, PowerShell, Python). - Apple Business Manager, Zero-Touch / automated device deployment. - Experience with VPN, LDAP, or ZTNA solutions. - Exposure to ISO 27001 / SOC 2 processes or security audits. - Interest in security topics (access control, endpoint security, Zero Trust). - iGaming industry experience. - Relevant certifications (CompTIA A+/Network+, Google Workspace, Microsoft, Apple, or similar). What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruiting Process - HR Interview - Technical Interview - Final Interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Обязанности: • Проведение занятий по учебным предметам, курсам, дисциплинам (модулям) образовательной программы в соответствии с расписание учебных занятий • Разработка и обновление учебных программ • Планирование в соответствии с локальными актами колледжа, занятий по учебным предметам, курсам, дисциплинам • Ведение документации, выполнение должностных обязанностей в соответствии с требованиями безопасности • Преподавание следующих дисциплин: • Проектный менеджмент в сопровождении и разработке программного обеспечения • Разработка встраиваемых программных модулей • Практическая подготовка по технологии выполнения работ по профессии "Техник" • Внедрение и поддержка компьютерных систем • Технология и инструментальные средства разработки программного обеспечения • Тестирование информационных систем • Проектирование и разработка веб-приложений • Оптимизация веб-приложений • Обеспечение безопасности веб-приложений Требования: • Высшее профессиональное образование • Опыт практической работы в IТ-сфере в организация соответствующей направленности будет преимуществом • Уверенное владение современными языками программирования (Python, Java, C#, C++, JavaScript/TypeScript и др.) • Знание методологий разработки ПО (Agile/Scrum), систем контроля версий (Git), принципов тестирования и CI/CD • Готовность к классному руководству • Наличие медицинской книжки и справки об отсутствии судимости • Опыт работы на образовательных платформах в том числе в электронной образовательной среде колледжа, работа в МЭШ • Грамотная речь, коммуникабельность, ответственность Условия: • Работа на территории работодателя • отпуск 56 к дней в летнее время • шестидневная рабочая неделя

Задачи: — Владение основными компонентами продукта и рабочими потоками от начального этапа до выпуска в производство. — Сотрудничество с командами инженерии, продукта и продаж для уточнения бизнес- и технических требований. — Преобразование общих целей продукта в технические планы, этапы и конкретные инженерные задачи. — Проектирование масштабируемой системной архитектуры и принятие важных технических решений. — Разработка и поддержка компонентов на Python промышленного уровня, обеспечение их надежности и расширяемости. — Внесение вклада в качество инженерии через обзоры дизайна и техническое наставничество. Требования: — Сильный опыт backend-разработки на Python. — Глубокие практические знания Linux и умение читать и анализировать код на C. — Подтвержденный опыт полного ведения крупных проектов или рабочих потоков. — Сильные навыки системного проектирования и архитектурного мышления. — Опыт преобразования неоднозначных требований в технические результаты. — Регулярное использование инструментов разработки с поддержкой ИИ в повседневной работе. Плюсы: — Опыт написания патчей ядра Linux или модулей ядра. — Владение программированием на C и навыки отладки. — Глубокое понимание внутреннего устройства операционных систем. Условия: — Полностью удаленная работа с гибким графиком и свободой выбора местоположения. — 24 оплачиваемых отпуска, 10 национальных праздников и неограниченный больничный. — Компенсация частной медицинской страховки. — Возмещение расходов на коворкинги и спортзал. — Выделенный бюджет на профессиональное образование. — Вознаграждения за инновационные идеи, пригодные для патентования.

Требования: — 4-6 лет опыта в сфере тестирования ПО — не менее 2 лет опыта в области автоматизации — знание Python, Java, Go, CI/CD, SQL, AI assistants Условия: — помощь с релокацией сотруднику и членам семьи О компании: Exness — ведущий брокер на рынке трейдинга, проводит в среднем 40M+ сделок в день в 13 странах. Размер команды — 2000+ человек, 1M+ клиентов по всему миру.

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. Your Mission & Who We Are Looking For: — Proven track record in production ML with 5+ years in Data Science and deployed models that moved real business metrics. — Building models that predict LTV, conversion, and user behavior across 770 million users, impacting advertiser ROAS and publisher revenue. — Deep learning as primary tool with strong hands-on experience in PyTorch or TensorFlow and production deployment handling 1M+ daily predictions. — Full ML lifecycle ownership from data extraction using Trino, Spark, or AWS Athena, through model development, A/B validation, to production deployment. — Experience with Airflow or model hosting is a strong plus. — Fluent in Python and data at scale, comfortable with pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost, and advanced SQL skills. — Ability to translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders. — AdTech experience is a strong plus. What’s in It for You? — Relocation support to Hamburg, Germany for worldwide talent. — Opportunity to build infrastructure behind impactful adtech platform reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects impacting 770M users and pushing adtech boundaries. — Fast-paced environment with multiple daily solution deployments and learning from results. — Collaborative culture with diverse global team from over 40 countries. — Enjoy daily victories and energetic work environment.

Задачи: — Проектировать и развивать модели компьютерного зрения и видеоаналитики (детекция, трекинг, распознавание лиц, анализ поведения); — Интегрировать ML-модели в production (backend, edge); — Обучать и дообучать модели (fine-tuning, transfer learning); — Работать над реальными AI-проектами с бизнес-применением; — Сопровождать полный цикл разработки: от исследования до деплоя; — Оптимизировать модели и повышать качество CV-решений. Требования: — Уверенные знания Computer Vision и современных DL-подходов; — Глубокое понимание машинного обучения и нейронных сетей (CNN, detection/segmentation); — Уверенное владение Python; — Опыт работы с OpenCV, NumPy, PyTorch и/или TensorFlow; — Опыт работы с Git; — Опыт оптимизации моделей (speed/accuracy trade-offs, inference); — Опыт решения задач детекции, трекинга и анализа поведения людей. Условия: — Формат работы: офис, Астана.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Responsibilities Design, build, and maintain backend services and REST APIs using Python(Django/FastAPI) Write efficient queries and manage data models in PostgreSQL Work with Redis for caching, queues, and improving service performance Collaborate with frontend and QA engineers to ship end-to-end features Write clean, tested, well-documented code and participate in code reviews Debug and optimize existing services for performance and scale Work with large datasets related to blockchain transactions (exposure to tools like ClickHouse is a plus) Required Skills Strong fundamentals in Python and object-oriented programming Understanding of Django/FastAPI or any Python web framework Working knowledge of relational databases (PostgreSQL preferred) — schema design, indexing, query optimization Basic understanding of caching concepts and tools like Redis Understanding of REST API design principles Strong problem-solving and DSA fundamentals (arrays, trees, graphs, hashing) Familiarity with Git and collaborative version control workflows Good to Have Exposure to Docker/containers Familiarity with message queues (Celery, Kafka, RabbitMQ) Personal projects, open-source contributions, or competitive programming profile Curiosity about blockchain/crypto — no prior crypto knowledge required Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, or similar AI-assisted coding tools) Eligibility Final year (graduating 2027) B.Tech/B.E./Dual Degree students From IIT / NIT / IIIT only CSE, IT, or closely related computer science branches only Strong academic record and demonstrated coding ability (via projects, competitive programming, or coursework) Preference given to candidates with open-source contributions, external/personal projects beyond academic coursework, and prior internship experience           Duration: 1 year        Work Mode: Hybrid (3 days/week in office, 2 days work-from-home)        Stipend: [As per company policy]        Post-internship: High performers may be offered a full-time role, subject to a 2-year service lock-in period ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.