Вакансии

Задачи: — Проектировать и автоматизировать средства контроля, механизмы обнаружения и инструменты для улучшения информационной безопасности инфраструктуры и продуктов Algolia — Исследовать, оценивать и рекомендовать новые технологии, методы и фреймворки информационной безопасности — Проектировать, внедрять и поддерживать системы мониторинга и устранения проблем информационной безопасности для защиты данных клиентов и систем Algolia — Сотрудничать с инженерными и продуктовыми командами для интеграции информационной безопасности в новые функции, системы и конвейеры разработки — Способствовать улучшению стандартов, процессов и лучших практик информационной безопасности в компании — Проводить оценку рисков и моделирование угроз для основных систем, сервисов и сторонних поставщиков — Участвовать и иногда возглавлять мероприятия по реагированию на инциденты информационной безопасности и анализу после инцидентов — Поддерживать текущие и новые инициативы по информационной безопасности и соответствию (например, SOC 2, Type II, ISO 27001, C5, GDPR) — Управлять и развивать программы публичного багбаунти и раскрытия уязвимостей Algolia Требования: — 3–6 лет опыта в инженерии информационной безопасности, защите инфраструктуры или смежных технических областях — Владение скриптингом или автоматизацией на одном из языков: Python, Bash, Go или аналогичных — Предпочтение опыту работы с Kubernetes — Глубокое понимание принципов информационной безопасности для современных облачных сред (AWS, GCP, Azure) и дата-центров — Опыт эксплуатации, настройки и управления системами логирования/SIEM, обнаружения угроз, управления позицией безопасности, EDR, SAST, SOAR, CTI и другими системами информационной безопасности, предпочтительно с опытом работы с Crowdstrike или Obsidian — Знание распространённых угроз, векторов атак и стратегий их смягчения — Хорошее понимание компьютерных систем, сетей и низкоуровневых протоколов с точки зрения информационной безопасности — Опыт обнаружения инцидентов, реагирования и управления уязвимостями — Отличные коммуникативные навыки для объяснения рисков и концепций информационной безопасности технической и нетехнической аудитории — Способность работать совместно с вице-президентом по информационной безопасности и самостоятельно достигать бизнес-целей — Свободное владение английским языком Желательно: — Опыт масштабирования программ информационной безопасности в быстрорастущих SaaS-компаниях — Сертификаты или эквивалентное обучение по облачной информационной безопасности (например, AWS Security Specialty, GCP Professional Security Engineer) — Опыт работы с системами управления секретами, такими как Hashicorp Vault — Участие в сообществах информационной безопасности, багбаунти, open-source инструментах или CTF — Опыт в области инженерии конфиденциальности, моделирования угроз или безопасного проектирования ПО Условия: — Гибкая модель работы с возможностью полностью удалённой или гибридной работы — Работа в международной команде с офисами в Париже, Нью-Йорке, Лондоне, Сиднее и Бухаресте — Конкурентная годовая зарплата в диапазоне £66,080–£91,800 — Культура, ориентированная на обучение, сотрудничество и инновации в области информационной безопасности — Поддержка профессионального развития и возможность влиять на безопасность систем, используемых миллионами пользователей

Задачи: — Разрабатывать движок выполнения запросов: проектировать, реализовывать, тестировать и поддерживать операторы запросов, вычисление выражений, планирование выполнения, управление ресурсами. — Улучшать производительность выполнения: оптимизировать векторную обработку, параллелизм, использование памяти, обмен данными и сброс на диск. — Диагностировать сложные проблемы: исследовать корректность и производительность запросов с помощью профилей, инструментов профилирования, телеметрии, бенчмарков, логов и данных из продакшена. — Оптимизировать Java и JVM: улучшать использование CPU, поведение сборщика мусора, потоков и другие характеристики выполнения. — Сотрудничать с командами Query Planner, Datalake, Product, Support и field engineering для улучшения запросов. — Использовать инструменты разработки с поддержкой ИИ для понимания кода, отладки, генерации тестов, документации и анализа инцидентов. — Применять инженерное суждение: проверять код и рекомендации, сгенерированные ИИ, через ревью, тестирование и бенчмарки. — Повышать инженерный уровень: участвовать в дизайне и код-ревью, вносить вклад в техническое направление, наставлять других инженеров. Требования: — Опыт разработки ПО не менее 5 лет, предпочтительно в системах баз данных, выполнении запросов, распределённых системах или смежных областях. — Сильные навыки программирования на Java; опыт с C++ будет плюсом. — Хорошее знание основ компьютерных наук: структуры данных, алгоритмы, конкурентное и многопоточное программирование, асинхронное программирование. — Понимание внутреннего устройства баз данных, обработки запросов, распределённого выполнения и оптимизации производительности. — Опыт профилирования и оптимизации CPU, памяти, сборщика мусора, поведения потоков и других характеристик выполнения. — Умение решать неоднозначные технические задачи и эффективно работать в межкомандной среде. — Инженерное суждение для оценки компромиссов, проверки решений и принятия обоснованных решений при работе с новыми или ИИ-поддерживаемыми реализациями. — Сильные коммуникативные навыки, чувство ответственности и стремление к качественной разработке. Будет плюсом: — Опыт с распределёнными движками запросов, движками баз данных или системами обработки больших данных. — Знания в области векторного выполнения, операторов запросов, вычисления выражений, генерации кода или оптимизации выполнения. — Опыт с JVM-профилированием, управлением памятью, кэшированием, сетевыми взаимодействиями, обменом данными, планированием выполнения или сбросом на диск. — Знакомство с платформами Apache Arrow, Apache Iceberg, Parquet, Avro, Spark, Hadoop или облачными хранилищами. — Участие в open-source проектах. Условия: — Удалённая работа. — Полная занятость. Компания Dremio — платформа lakehouse для аналитики и ИИ, использующая открытые технологии, включая Apache Iceberg и Apache Arrow, с клиентами по всему миру.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £150,000 — £190,000 GBP 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: Cary, United States At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. Join our global Payroll and Finance team where you’ll play a key role in managing accurate, timely payroll for employees across the U.S. and Canada. As a Sr. Payroll Specialist , you’ll partner closely with Payroll, Finance, and Human Resources to ensure a seamless employee experience while supporting critical payroll processes across the organization. This role is based in Cary, NC and requires two(2)-three(3) days in office per week About this role: As a Sr. Payroll Specialist , you’ll play a key role in managing accurate, timely bi-weekly payroll for employees across the U.S. and Canada while overseeing a broad range of payroll activities, including deductions, bonuses, garnishments, tax changes, reconciliations, and employee inquiries. You’ll partner closely with Global Payroll, Finance, Accounting, Human Resources, and external providers to support payroll reporting, audits, benefits plans, and compliance across multiple jurisdictions. This is a hands-on opportunity to take ownership of critical payroll processes while contributing to broader business initiatives. Requirements About you: If you are a detail-oriented payroll professional who takes ownership, thrives in a fast-paced environment, and brings strong judgment when handling sensitive information. As well as a collaborative problem-solver with strong communication skills who can confidently manage complex payroll processes while partnering across Payroll, Finance, HR, and the broader business, this role is for. To be successful we are looking for the following traits and behaviors: 3–5+ years of hands-on payroll experience , supporting U.S. and Canadian payroll. Strong attention to detail and accuracy , with the ability to manage complex payroll processes, reconciliations, and deadlines. Experience with ADP Workforce Now or a similar payroll/HRIS platform. High level of confidentiality and discretion when handling sensitive employee and payroll information. Strong communication and problem-solving skills , with the ability to collaborate across Payroll, Finance, HR, and other teams in a fast-paced environment. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Disclaimers: *Our office-based work policy encourages a dynamic work environment, prescribing a minimum of 2-3 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-DE

Location: United States We’re looking for passionate Licensed Clinical Psychologists to join Intellect, a leading mental health platform dedicated to making quality care more accessible around the world. As a practitioner on our telehealth platform, you’ll have the opportunity to empower individuals on their mental health and personal growth journeys — providing meaningful, one-on-one support through 60-minute video sessions tailored to each client’s unique goals and needs. This is a freelance, fully remote role that offers you the flexibility to choose your own schedule, making it a great way to complement your current job or private practice while joining a collaborative, mission-driven global community. Why Join Intellect You’ll become part of a trusted community of Clinical Psychologists and Counsellors committed to expanding access to quality mental health care worldwide. What You’ll Do Provide 1-on-1 telehealth or occasional onsite mental health support for Intellect’s clients. Work with a wide range of clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, and addiction . Collaborate closely with Intellect’s internal clinical team to continuously improve our programs and platform. If you’re passionate about delivering impactful mental health care, we’d love to hear from you. Apply today. Requirements Qualifications: PhD or PsyD Experience: A minimum of 3 years of clinical experience and 500 supervised clinical hours (excluding internships and academic placements) Expertise: Skilled in Trauma-Informed Therapeutic Approaches Trauma-Focused Cognitive Behavioural Therapy (TF-CBT) Eye Movement Desensitisation and Reprocessing (EMDR) Dialectical Behaviour Therapy (DBT) for trauma survivors Somatic Experiencing (SE) License: Must hold valid and active license applicable to Illinois Supervision Requirement: One supervision session every 2 months Preferred Background: Prior experience with EAP and/or adult counseling Flexibility: Openness to occasional onsite work, if necessary Languages: Fluency in English required; proficiency in additional languages is a plus. Applicants must already hold a valid visa or legal right to work in the country of hiring, as Intellect does not provide visa sponsorship at this time Benefits Flexible, remote work Independent contractor role that can be combined with full-time work or other professional commitments Supportive, mission-driven community Creative freedom and growth opportunities

Location: São Paulo, Brazil; Belo Horizonte, Brazil; Curitiba, Brazil; Rio de Janeiro, Brazil; Porto Alegre, Brazil Top 3 Reasons To Join Us International Environment 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 About the Role A cloud technology-focused individual providing design and delivery expertise for forward-looking solutions in a modern cloud-based insurance environment. The successful candidate will work directly with clients, assessing their needs, designing tailored solutions, and supporting business initiatives in alignment with defined roadmaps. This role is technology agnostic but emphasizes solutions leveraging heavily on AWS and/or GCP environments, incorporating elements of open-source, PaaS, and SaaS components. What You Will Do Engage with clients to understand their requirements and advise on appropriate solution architectures Collaborate with Product Managers to ensure alignment between client needs and solution design Work closely with Delivery Managers to oversee the architecture approach during solution deployment Explore a range of possibilities and creative alternatives to identify the most effective solutions Ensure that designed solutions are implemented in accordance with client expectations and company standards Assist in identifying, specifying, and selecting off-the-shelf components to meet client needs Provide ongoing support and guidance to clients throughout the implementation process Maintain awareness of industry trends and emerging technologies to continuously improve solutions Required Skills and Knowledge At least 6 years of professional experience in solution architecture design and delivery roles in the insurance vertical with exposure to multiple lines of business Experienced in delivering cloud-based technology product solutions in an enterprise environment Ability to assist in defining and socialising a product/enterprise roadmap Ability to translate client requirements into actionable steps and solution architectures Understand business architecture models & patterns Has designed and implemented innovative and creative solutions to business problems Can think "outside the box", but also be able to understand the business constraints that lead to “in the box” approaches Understand the optimum approaches for cloud-based applications with high availability and highly scalable solutions Experienced in designing solutions in a Relational DB and noSQL environment Experienced in designing for API & Micro-services centric environments Demonstrated capability to self-learn new technology trends and approaches Ideally has experience or understanding of the benefits of low-code platforms While the Solution Architect is not expected to build the solutions experience of multiple development languages & various DB engines will be advantageous Exposure to authentication and authorisation concepts (SSO, SAML integration, identity federation etc) Excellent communication skills, both written and verbal Required Competencies Must be equally comfortable discussing the solution strategies and enterprise roadmap with people at all levels of our organisation and CxO to project-level teams in our clients Strong analytical skills & ability to understand and collect business requirements from corporate clients. Strong ability to build the value proposition and solution documents, and in some cases, the business case for a corporate client. Relationship management experience with corporate clients. Excellent organisational, interpersonal & communication skills and an ability to engage audiences Excellent decision-making and judgment skills Understanding of insurance business processes across all areas and at least two lines of business Maintains direction and focus through proactive planning and organized approaches to work Certification in one architecture discipline (TOGAF, Zachman, etc.) is a distinct advantage Certification in one cloud environment is a distinct advantage with a broad knowledge and experience of the cloud platform’s capabilities A high proficiency in working in English as your primary language Why You'll Love Working Here Paid Annual Leaves Annual Performance Bonus Health Insurance Remote Work Allowance Anniversary Bonus Stock Options (after 6 months) Company activities and events Learning and development plan 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: Warsaw, Poland; Kraków, Poland; Vilnius, Lithuania; Riga, Latvia; Budapest, Hungary RateHawk is part of Emerging Travel Group — a pioneering travel-tech company also known for its two other brands, ZenHotels and Roundtrip, spanning over 220 markets worldwide. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. As a Junior Account Manager , you will play a pivotal role in maintaining and developing relationships with our clients and consolidating our presence on the local market. This is an IC role, not a Team Lead position. This is a remote vacancy open to candidates residing in Poland, Lithuania, Latvia and Hungary . What You’ll Do: Maintain and develop collaborative relationships with existing and newly contracted partners, including tour operators, travel agencies, travel management companies, and online travel agencies, with the objective of increasing partner performance and engagement. Collaborate with the sales function to identify, assess, and support growth opportunities in the defined territory, contributing expertise on market trends and partner needs. Conduct follow-up communications with current and prospective partners for the purpose of providing system training and enhancing partners’ understanding and utilization of provided platforms. Position and promote the client’s brand within the travel trade sector through the delivery of ongoing product presentations and representation at relevant industry networking events. Advise on the resolution of incident-related matters affecting partners, facilitating support and ensuring timely communication between involved parties. Oversee payment-related processes on behalf of the client, including the verification and control of transactions, and provide recommendations to ensure the accuracy and integrity of payment operations. Prepare and submit regular comprehensive reports utilizing the client’s CRM and internal systems, offering analysis and insights regarding partner activities, market developments, and other relevant metrics. Requirements Must have: Relevant Experience. Minimum of 1 year of successful experience in account or customer management, or in business development for B2B companies within the travel industry; Market Knowledge. Understanding of the region's travel market, including B2B travel networks (tour operators, travel agencies, travel management companies, OTAs); Language knowledge . Fluent in English, and either Lithuanian, Latvian or Polish, other languages are advantageous. Travel Requirements. Up to 10% of travel time may be required; Analytical skills. Used to data-driven decision-making, metrics-driven and good with numbers; Personal skills. Proactive, ambitious, motivated, action-oriented, results-focused, appetite for innovative technology, comfortable with the fast-changing business environment, teamplayer; International mindset. Ability to understand and work across a wide range of cultural contexts reflecting ETG’s global presence; Note: only CVs in English will be considered. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. Примеры: система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин. Задачи: — разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM — адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO) — участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества — написание качественного кода и обсуждение технических решений с командой. Требования: — неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов — знание Python, статистики и ML/DL-стека — опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров — опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG) — опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents) — знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования — умение писать чистый и поддерживаемый код (Clean Architecture, SOLID) — опыт работы с Git. Преимуществом будет: — опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse — успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах) — вклад в open-source проекты, публикация моделей и датасетов на Hugging Face — погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам — знание других языков программирования (например, C++, Java). Условия: — оплачиваемая стажировка — возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) — корпоративный спортзал и зоны отдыха.

Задачи: — разработка, тестирование и внедрение ИИ-агентов (в том числе LLM-as-a-Judge) и классических ML-моделей для оценки качества, детекции аномалий, прогнозирования деградации и автоматической локализации причин сбоев — исследование и внедрение новых подходов в области настройки LLM, LLM-as-a-Judge и RAG, чтобы сделать мониторинг точнее, стабильнее и понятнее — ведение проекта по полному циклу: от идеи и прототипа до рабочего решения в проде, его тестирования и поддержки — проектирование пайплайнов для работы с данными (трейсами агентов) и обучения моделей, интегрируя их в нашу MLOps экосистему — взаимодействие с командами разработки и валидации ИИ-агентов, MLOps для интеграции решений и формирования лучших практик. Требования: — глубокое знание математической статистики, алгоритмов классического ML и архитектур нейросетей — опыт работы от 5 лет в роли Data Science / Machine Learning с полным циклом разработки — от исследований и прототипирования до внедрения в прод и мониторинга — опыт проведения аналитических исследований (R&D): умение самостоятельно изучать проблемную область, формулировать и проверять гипотезы, выбирать и адаптировать state-of-the-art методы под задачи проекта — уверенное владение стеком технологий для анализа, экспериментов и разработки: NumPy, Pandas, Polars, Scikit-learn, XGBoost, LightGBM, CatBoostOptuna / Hyperopt — навык написание чистого, модульного кода на Python, понимание принципов SOLID, опыт работы с Git. Будет преимуществом: — опыт разработки ИИ-агентов / агентных систем, понимание принципов их работы, коммуникации и оркестрации — опыт работы с трейсами и метаданными ИИ-агентов (OpenAI, Arize Phoenix, LangSmith) — опыт работы с векторными базами данных — знание observability-стека (OpenTelemetry, Prometheus, Grafana) для мониторинга ML-систем — публикации или значимый вклад в open-source в области ML/NLP/LLM. Условия: — комфортный современный офис: г. Москва, метро Кутузовский пр. — формат работы– офис, по согласованию с руководителем возможно выполнение пула задач в гибридном формате — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС (медицинское страхование), льготное страхование для семьи — ипотека для сотрудников — бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров — вознаграждение за рекомендацию друзей в команду Сбера.

Location: North America - Remote Workplace: Remote Douro Labs is the core development team behind the Pyth Network. We're looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth. This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth). - Location: Remote (US or Europe) - Type: Full-time - Reports to: Head of Technical Operations About Our Team and Your Role We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate. Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm. Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction. The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data. About the Role This is a hybrid research/strategy role. At the outset, you'll monitor prediction markets and perps day to day and connect what's happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth. We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it. Responsibilities Market Monitoring - Track news, launches, and structural shifts across prediction markets and perpetual futures - Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early - Follow volumes, open interest, funding rates, and market share across major venues - Connect recent events to their impact on Pyth and share timely takeaways with the team - Maintain a current view of the competitive landscape, including oracles and data providers serving these markets User Research - Research prediction market and perps protocols to understand how they use price data - Map who our users are, what they need, and where current solutions fall short - Build dashboards and datasets the team can use to follow these markets Product Opportunities - Turn research findings into concrete product ideas for Pyth - Size opportunities using market and on-chain data - Work with product, engineering, and BD to prioritize and pressure-test ideas - Track how launched initiatives perform against the original thesis Research and Reporting - Write clear, convincing research reports for internal and external audiences - Present findings and recommendations to leadership - Build a repeatable research process the team can rely on About You - Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market - Deep understanding of prediction market and perpetual futures market structure - Active in trader communities and comfortable picking up signal from X, Discord, and Telegram - Proficient with data analysis tools (SQL, Python, Dune or similar) - Strong writer with a track record of research that drives decisions - Analytical and a self-starter, comfortable owning a research agenda independently - Comfortable with startup pace and evolving scope Think you've got what it takes to build the most talented team in the world? We'd love to meet you.

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

Задачи: — Расчёт математической модели открытия кейсов — Настройка вероятностей выпадения предметов — Расчёт RTP, EV и маржи проекта — Расчёт variance / volatility — Настройка стоимости кейсов относительно стоимости содержащихся предметов — Моделирование большого количества открытий (Monte Carlo) — Проверка экономики на дистанции: 100 тыс. / 1 млн / 10+ млн открытий — Анализ возможных убыточных сценариев для платформы — Разработка алгоритма автоматического пересчёта вероятностей при изменении рыночной стоимости CS2-скинов — Математическая настройка бонусных механик, апгрейдов, сражений и других игровых режимов — Контроль общей экономики проекта и её устойчивости Требования: — Понимание теории вероятностей, математической статистики и экономики игровых систем Будет плюсом: — Опыт в iGaming / Game Math / Loot Boxes / Case Opening / CS2 / Slots / RNG / Game Economy — Знание Python и опыт построения Monte-Carlo симуляций Условия: — Проект долгосрочный — После разработки основной модели потребуется дальнейшая работа над новыми механиками и балансом

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. They started by revolutionizing incentive compensation management and are now expanding their platform to solve broader sales planning challenges. The company is recognized by industry analysts like Forrester and G2 and backed by top-tier investors including Sequoia, ICONIQ, Accel, and Sapphire Ventures. They empower high-growth companies like Netflix, Figma, and Stripe with flexibility and insights to drive revenue performance. About the Role: We are seeking a senior individual contributor to serve as Strategic Technology Partnerships Manager, with primary responsibility for strategic ISV/platform relationships. In this role, you will own the strategy and day-to-day execution of these partnerships—defining joint go-to-market motions, driving certified integrations, and turning ecosystem presence into tangible pipeline and revenue. Reporting to the VP, Alliances & Growth, you will operate as a highly autonomous, senior IC who can set direction, influence cross-functional stakeholders, and execute hands-on work across sales, product, marketing, and customer teams. This is a foundational role in our technology ecosystem strategy, focused on opening new routes to market, expanding TAM through platform integrations, and making technology partners a repeatable source of sourced and influenced opportunities.

Команда «ИИ для сотрудников» отвечает за создание AI-инструментов для сотрудников компании: определение приоритетов, разработка решений и внедрение. Задачи: — Разрабатывать платформу для создания внутренних ассистентов с использованием современных подходов. — Обеспечивать доступ сотрудников к актуальным возможностям LLM — интеграция новых моделей, MCP и API. — Анализировать качество генеративных моделей, выявлять слабые места и предлагать способы их улучшения. — Следить за best practices и open source-проектами в области LLM и интеграций. — Разворачивать и поддерживать сервисы в Kubernetes: деплой, конфигурация, настройка мониторинга и алёртов. — Проводить code review и архитектурные ревью, вносить предложения по оптимизации и развитию. Требования: — Опыт разработки от 5 лет. — Активное использование LLM, понимание их возможностей и ограничений. — Опыт деплоя сервисов в продакшн и обеспечение их стабильной работы. — Приветствуется понимание архитектуры AI-агентов (оркестрация, memory, tools). — Опыт работы с фреймворками для LLM-пайплайнов: LangChain, LlamaIndex, Haystack. Условия: — Аккредитованная IT‑компания. — Возможна удалённая работа по РФ. — При желании гибридный формат (офисы в Москве, Санкт-Петербурге, Новосибирске). — Нет дресс‑кода и строгого графика. — Участие в конференциях, ДМС и забота о здоровье сотрудников.

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for an experienced and operationally sharp Security Operations & Incident Response Analyst (L3) to join Aleph's global IT Security team. Reporting to the Global CISO, you will be the first line of defence when incidents occur and the engine behind the team's threat detection and response capabilities. You will own the end-to-end incident response process, lead threat hunting and intelligence activities, and manage the vulnerability and identity governance programmes — ensuring Aleph is both able to detect threats quickly and respond to them effectively across a complex, globally distributed environment. What you'll do: Incident Response Own and coordinate the end-to-end incident response process : identification, triage, containment, eradication, recovery, and post-incident review (lessons learned). Serve as the primary point of contact for security incidents escalated from IT Operations, the Security Engineer, and external sources. Maintain and continuously improve incident response playbooks for the most relevant threat scenarios (ransomware, phishing, account compromise, data breach, insider threat, etc.). Manage the security incident log and register : track all incidents, document timelines and actions, and produce trend analysis and reporting for the CISO. Coordinate with external SOC or MDR providers where applicable: review daily reports, validate alert quality, and manage escalation workflows. Data Breach Management Lead data breach investigations : scope the breach, gather and preserve evidence, assess PII exposure, and coordinate response with Legal, Privacy, and HR. Produce breach investigation reports with findings, root cause, and recommendations. Threat Hunting & Intelligence Conduct proactive threat hunting across the environment: develop hypotheses based on threat intelligence, search for indicators of compromise (IoCs), and investigate anomalous behaviour. Manage the Threat Intelligence function : track relevant threat actors, TTPs (MITRE ATT&CK), and sector-specific threat campaigns; integrate intelligence into SIEM/XDR detection rules and hunting queries. Produce threat intelligence summaries and briefings for the CISO and relevant stakeholders. Vulnerability Management Own the vulnerability management programme : schedule and execute periodic vulnerability scans across infrastructure, endpoints, and cloud environments. Analyse scan results, prioritise findings by risk and exploitability, and coordinate remediation with IT Operations within agreed SLAs. Track remediation progress, produce vulnerability metrics, and report status to the CISO. Validate remediation effectiveness through re-scanning and spot-checks. Identity & Access Management (IAM) Manage periodic access reviews : coordinate with system owners and HR to review and certify user permissions across critical systems, ensuring least privilege is maintained. Oversee the Privileged Access Management (PAM) programme: define PAM policies, monitor privileged account usage, and review access rights for administrator-level accounts. Investigate and respond to identity-related anomalies and access policy violations. What we are looking for: 3–5 years in a SOC analyst, incident response, or security operations role, with at least 1–2 years at L3 level is a plus. Experience implementing or managing IAM and PAM solutions Experience working within international or multinational environments. Hands-on experience with incident response engagements (internal or consulting) is strongly valued. Relevant certifications: GCIH, GCFE, GCFA, CEH, CompTIA CySA+ , or equivalent. OSCP is a plus. Strong hands-on experience with SIEM platforms (alert triage, rule writing, query development) and EDR/XDR tools . Solid knowledge of the MITRE ATT&CK framework and its application to threat hunting and incident response. Experience conducting vulnerability scans using tools such as Tenable Nessus, Qualys, Rapid7, or similar. Familiarity with IAM and PAM concepts and platforms (e.g. CyberArk, BeyondTrust, Azure PIM, or equivalent). Experience with digital forensics and incident response (DFIR) methodologies: evidence collection, log analysis, and timeline reconstruction. Knowledge of threat intelligence platforms and feeds (e.g. MISP, VirusTotal, threat intel feeds). Understanding of ISO 27001 incident management controls, NIS2 incident reporting obligations, and PCI DSS requirement 12.10 . Calm and decisive under pressure. Strong investigative mindset with structured problem-solving approach, excellent documentation skills. Ability to communicate incident status and findings clearly to both technical teams and executive stakeholders. Collaborative and proactive, comfortable working asynchronously across time zones. English : full professional proficiency (C1/C2) — primary working language. Spanish : professional proficiency is a plus. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 48,000 EUR. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role.   #Aleph Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role: Are you an experienced engineer at the stage of your career where, above all, you want to do good? This role is about using engineering to support fundraising: delighting our donors; helping our fundraisers; getting donations recorded and safely started on their journey to our recipients; telling donors and the public about what happens to their gifts. A bit of website development. A lot of plumbing. The good news about this position: You will make a difference to people in extreme poverty You will work independently, with few constraints You will work directly with lovely people from across our fundraising teams The trade-offs: There is only one other fundraising engineer and mostly you will be working on your own Our technology is a mixture of boring (Laravel, PHP, plain JS, HTML and CSS) and legacy (Salesforce, Wordpress, wrangling CSV files sent by our partners) We're growing, but this is a role for someone who values depth and impact over a fast title ladder. The maybe good maybe bad news about the role depending on who you are: We are all in on AI where it allows us to get more $ to people in extreme poverty If you want a role where you will be part of a bigger engineering team, working in Python or working on more complex tasks, then please take a look at our other engineering roles . This role is right for you if: You care about our mission You agree with our values You have the right to work in one of the countries we're able to hire from (you can check the current list here ). You're happy working remotely, and taking meetings across East Africa Time and US Eastern Time. You are happy to travel to meet your colleagues in the US, Europe and Africa a few weeks a year You are fluent in English You have 4+ years of engineering experience You're happy working autonomously: defining what needs doing, doing it, getting it tested and launched, fixing the bugs, and hustling to make progress every day. You're comfortable being on-call on peak donation days (Giving Tuesday and the last weeks of the year), including owning an incident: working out what matters, communicating with fundraisers, and debugging on legacy and others' code, sometimes when no other engineers are available. You are happy with our boring and legacy technologies (Laravel, PHP, plain JS, HTML, CSS, Salesforce, Wordpress, SQL, wrangling csv files etc). You don’t have to be experienced in all of them, but you do have to be genuinely happy to use them (many engineers are not…). You are happy and skilled at working directly with non-engineers on messy, poorly defined, rapidly changing, sometimes boring tasks Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $181,130 Bonus at Target Performance: 15% (~$27,170, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$31,789 in 2025) Estimated Total Compensation at Target: $208,300+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £124,370 Bonus at Target Performance: 15% (~£18,656, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~£21,827 in 2025) Estimated Total Compensation at Target: £143,026+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $112,350 Bonus at Target Performance: 15% (~$16,853, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$19,717 in 2025) Estimated Total Compensation at Target: $129,203+ Annual Benefits Stipend: $8,453 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Desk allowance and flexible work location About this specific hiring process Take-home coding assignment Live Coding (60 mins) Systems Design (60 mins) Project Deep Dive + Behavioral (60 mins) *It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

Dremio is a unified lakehouse platform for self-service analytics and AI, serving global enterprises such as Maersk, Amazon, Regeneron, NetApp, and S&P Global. The platform supports cloud, hybrid, and on-prem lakehouses to enable data mesh, data warehouse migration, data virtualization, and unified data access use cases. It is based on open source technologies including Apache Iceberg and Apache Arrow, providing an open lakehouse architecture for fast insights and platform flexibility at reduced cost. Dremio values high standards in People, Thinking, and Action. Employees, called Gnarlies, communicate clearly, drive accountability, respect each other, confront facts, focus on results, and operate with urgency. The company supports workforce diversity and is an equal opportunity employer, not discriminating based on race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, disability, or other unlawful factors. Accommodations for individuals with disabilities are provided upon request during application and interview processes. Dremio emphasizes trust and transparency, warning candidates about scam attempts using fake domains. Official communications come only from @dremio.com domains. The company is not responsible for fees related to unsolicited resumes and does not pay fees to third-party agencies without signed agreements. Candidates interested in future opportunities can express their areas and roles of interest to be notified when matching positions become available.