Вакансии

We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch.

As an Applied Scientist Intern, you will become a specialist in our models, products, business and/or codebase. You will identify potential problems or opportunities for improvement, communicate these to the team and suggest solutions.

-Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. -Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code.

Location: Remote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: - Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies - Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions - Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably - Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment - Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach   Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.   ABOUT YOU - You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. - You can do 2 or more of the following: - Deploy and iterate on ML in production environments - Develop and deploy NLP solutions - Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development - Conduct marketing campaign analysis using Bayesian methods - You write production-grade code in Python or a comparable high-level language. - You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. - You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. - You collaborate effectively with product teams and contribute to overall team throughput. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY, AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. KEY PRINCIPLES: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-February-5-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

– Исследовать и прототипировать новые методы контроля качества данных на наших данных. – Проектировать ML- и статистические контроли для выявления аномалий, дрейфа распределений, деградации свежести данных, нарушений сезонных паттернов и нетипичных комбинаций метрик.

• Build and maintain data pipelines and integrations with source systems (ERP K-Soft / 1С, Qlik Sense); • Strong Python (pandas, scikit-learn, and ML/DL frameworks) and SQL;

Задачи: — проводить ценовые тесты с командой аналитики — оценивать потенциал гипотез и проверять их — подбирать подходящие метрики для офлайн- и онлайн-оценки

Предстоит: Разрабатывать и развивать ML/AI-решения для продуктов HR Tech и платформы Alfa People; Самостоятельно проходить полный цикл работы над задачей: от формулировки проблемы и дизайна решения до внедрения и оценки эффекта;

• Экспертиза в Linux, Docker.

- Решение сложных алгоритмических и исследовательских задач: обработка 3D‑данных, полигональных сеток и пространственных объектов, разработка пайплайнов поиска; - Проектирование архитектуры ML/DS‑сервисов и внедрение готовых решений в инфраструктуру проекта;

Предстоит: написание сервисов для команды рекомендательных систем; разработка систем мониторинга качества рекомендательных систем;

Задачи: — Активное участие в найме, наставничестве и развитии карьеры других инженеров — Повышение технических стандартов, производительности, надежности и операционного совершенства — Определение областей, где машинное обучение может создавать ценность для клиентов — Правильная постановка задач машинного обучения в продуктах, взаимодействие с командой и заинтересованными сторонами из Product и Design — Проведение разведывательного анализа данных и исследований для глубокого понимания проблемной области — Исследование и выбор подходящих алгоритмов и инструментов, сочетая прагматизм и инновации — Проведение офлайн-оценки для подтверждения эффективности алгоритмов — Сотрудничество с инженерами для вывода прототипов в продакшн — Планирование, измерение и распространение результатов для информирования итераций — Тесное взаимодействие с командой и другими подразделениями для создания отличных ML-продуктов Требования: — 5-8 лет опыта применения машинного обучения — Предыдущий опыт на старшей или ведущей позиции (data science, разработка ПО или академическая сфера) — Значительный и доказанный вклад в продукт и/или команды — Сильные навыки программирования — Опыт технического лидерства в команде — Хорошие коммуникативные навыки внутри инженерных команд и между дисциплинами — Умение работать в условиях неопределенности — Обычно наличие продвинутого образования в области машинного обучения или смежной области (например, MSc) — Научный подход к мышлению Плюсы: — Опыт выпуска ML-продуктов — PhD или опыт работы в исследовательской среде — Глубокие знания в применимых областях ML, таких как NLP, глубокое обучение, байесовские методы, обучение с подкреплением, кластеризация — Сильный статистический или математический бэкграунд — Навыки визуализации и работы с данными, включая SQL, matplotlib и др. Условия: — Гибридный формат работы с офисами в Дублине, Лондоне и Берлине — Ожидается присутствие в офисе минимум три дня в неделю — Компания предлагает конкурентные условия и поддержку баланса между работой и личной жизнью — Политика равных возможностей и недискриминации — Поддержка здоровья, благополучия, семьи, времени вне работы и финансового будущего Компания: Fin — крупная IT-компания, разрабатывающая интеллектуальных AI-агентов для автоматизации клиентского сервиса, теперь часть Salesforce. Их AI Agent Fin — один из лучших на рынке, обеспечивающий круглосуточную поддержку клиентов по всем каналам с минимальной настройкой и интеграцией. Команда активно применяет современные ML-технологии и тесно сотрудничает с продуктовой и дизайнерской командами для быстрого вывода продуктов на рынок.

• Оценка целей бизнес задач, бизнес метрик, алгоритмов и методов машинного обучения, имеющихся и необходимых данных. • Опыт 3+ года.

-Погружаться в бизнес контекст платформы ограничений, изучать доступные данные и существующую инфраструктуру — высоконагруженные сервисы, обрабатывающие миллионы транзакций в день. -Анализировать текущие бизнес процессы, выявлять их уязвимые места и точки роста.

• Оценка целей бизнес задач, бизнес метрик, алгоритмов и методов машинного обучения, имеющихся и необходимых данных. • Опыт 3+ года.

Сейчас мы расширяем команду и ищем DS-специалистов уровня Middle и Senior. Мы занимаемся развитием платформы интеллектуального управления безопасностью финансовых потоков. Наши ML-решения в реальном времени оценивают транзакции на предмет мошенничества, комплаенс-рисков и других нежелательных действий.

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems Track record in applying machine learning techniques to projects in academia or industry Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow) Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Experience communicating your solutions effectively to different audiences Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.