Вакансии

Location: Москва Vs — R&D команда проекта GigaLegal в СБЕР, создающая решения в правовой сфере на основе LLM для автоматизации юридических процессов. Наша цель — трансформировать работу юристов, бизнеса и госструктур через: * автоматизацию анализа договоров и юридических документов * интеллектуальную генерацию правовых текстов * разработку специализированных юридических чат-ботов * создание автономных юридических ИИ-агентов. Обязанности * разработка и развитие LLM-проектов в юридическом домене — от прототипов до продакшена * проектирование и обучение агентов-экспертов, решающих задачи правового домена (RAG-пайплайны, классификация запросов, генерация ответов, оценка релевантности) * исследование и настройка multi-agent orchestration (LangGraph, LangChain, schema guided reasoning pipelines) * работа с GigaChat как основной моделью, а также эксперименты с ChatGPT, Gemini, Qwen * дообучение малых моделей (instruction-tuning, adapters, LoRA) для повышения качества юридического рассуждения * разработка метрик качества * взаимодействие с инженерами и аналитиками права — внедрение моделей в реальные кейсы (алиментные, потребительские, трудовые и т.д.). Требования * опыт работы DS/ML-инженером от 3х лет * понимание архитектуры LLM и принципов prompt engineering * опыт построения RAG-систем, fine-tuning и дообучения моделей * умение проектировать пайплайны inference / retraining. Будет плюсом:  * опыт в LegalTech или смежных областях (финансы, документооборот, чат-боты). * понимание структуры и логики российских нормативных актов * опыт интеграции LLM с внешними API или базами знаний. Наш стек: Python 3.10+, FastAPI, LangChain / LangGraph, OpenSearch, Redis, Kafka. Условия * формат работы офис на испытательном сроке, локация офиса ул Вавилова д.19 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Ищем ML Engineer для разработки AI-решений на базе больших языковых моделей (LLM). Предстоит заниматься созданием AI-агентов, мультиагентных систем, RAG-решений и адаптацией LLM под прикладные задачи. Специалист будет участвовать в полном цикле разработки: подготовка данных, дообучение моделей, разработка AI-архитектуры и внедрение решений в production. Обязанности ### Твои задачи: * разработка AI-агентов и мультиагентных систем * создание и оптимизация RAG-систем * разработка и настройка промптов (Prompt Engineering) * дообучение LLM * подготовка и обработка датасетов * настройка Embeddings, Vector Search, Hybrid Search * интеграция LLM с API, базами данных и корпоративными системами * оценка качества моделей и оптимизация результатов * развертывание и сопровождение AI-сервисов. Требования ### Мы ожидаем, что у тебя есть: * опыт разработки на Python от 3 лет * опыт работы с LLM и Generative AI * опыт разработки RAG-систем * опыт Fine-Tuning LLM (SFT, LoRA/QLoRA) * опыт работы с Hugging Face Transformers, PyTorch * понимание архитектуры Transformer * опыт работы с Prompt Engineering * опыт создания AI-агентов. **Будет плюсом:** * опыт работы с локальными LLM (Qwen и др.) * опыт развертывания моделей * опыт работы с GPU-инфраструктурой * опыт работы с Vector DB (Qdrant и др.) * опыт построения MLOps-процессов * знание MCP / A2A протоколов * опыт оценки качества LLM Условия ### Работа в СберТехе - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * статус аккредитованной ИТ-компании * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * бесплатная подписка СберПрайм, которой можно поделиться с 3 близкими.

We are looking for a Product Owner to lead that team: a small, senior, fully remote squad of engineers that takes new product concepts from idea to a working MVP in customers' hands, then hands proven products to a product line and moves on to the next concept.

-Развивать стратегию и roadmap AI-агента. -Проектировать AI Agents и многошаговые сценарии взаимодействия.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

The Full-Stack Platform Engineer provides senior technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting a federal environment.

Location: Marousi, Greece We currently have a vacancy for a highly motivated Talent Acquisition Analyst, to join our unique and dynamic recruitment team. Talent is EUROPEAN DYNAMICS’ biggest asset, so we are interested in someone who understands the importance of finding the best of the best in the industry and who has the desire to make an impact as we achieve our goals. Your role is to act as the liaison between candidates and hiring managers, ensuring smooth communication and prompt resolution of all queries. Fluency in English is required. The analyst will offer his/her services remotely. Your tasks: Partner directly with the hiring managers to understand specific needs to attract and bring in top talent; Source candidates using state-of-the-art tools like LinkedIn Recruiter; Post job ads; Initiate phone screening with applicants, referrals, and other interested candidates; Organize and conduct interviews; Prepare financial offers and administer/follow up recruitment paperwork with candidates; Compile and update candidates' records. Requirements Bachelor's degree / Diploma in Administration and/or Human Resources and/or other relevant social science disciplines; 1-2 years of recruitment experience in an international/multicultural environment will be an asset; Proactive-taking initiative and follow-through is a must; Curious-researching market trends with the ability to translate back to the business; Work both independently and in a team-oriented collaborative environment; Prioritize and plan work activities to use time efficiently; Organization skills, accuracy and thoroughness, ability to monitor work for quality; Advanced written and verbal communication and negotiation skills; Approachability, energy, and enthusiasm to motivate and engage others; Proficiency in office automation tools; Fluency in English and German. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Τop-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest recruitment teams and enjoy your time doing it, then join us! Send us your detailed CV in English, quoting reference: TAA/11/26. You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

- Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics for real-world tasks. - Hands-on experience building, evaluating or improving LLM models or agents (professional, research, open-source or personal projects).

-Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом.

Location: Dallas Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Boston Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Senior Fullstack Engineer для подписочного AI-продукта. Опыт коммерческой разработки от 4 лет, обязательно с опытом работы в продуктовой компании.

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work.   WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology   WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work.   COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality of ClickUp's AI: building the eval systems that tell us how well our AI is performing, the core agent harness, and the AI that performs well on those evals. You'll work on backend systems that make AI-powered capabilities scalable, reliable, and secure, while working hands-on with LLMs to solve real user problems and drive product innovation.   Key Responsibilities: - Design, build, and own ClickUp's AI evaluation system, including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features. - Build and evolve the core agent harness, and the AI that performs well on those evals, partnering closely with product and engineering to define what "great" looks like. - Build self-improvement loops where agents modify other agents or prompts, rerun evals, and iterate automatically. - Benchmark new models as they're released and own model selection, routing, and fallback strategies across providers (e.g., OpenAI, Anthropic, Google, open-weight), balancing quality, latency, and cost. - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Build and maintain robust APIs and backend systems that integrate AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Drive best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. - Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.   Qualifications: - 5+ years of software engineering experience, including 2+ years building production LLM or ML systems. - Hands-on experience building LLM evaluation systems in production (golden datasets, LLM-as-judge, judge calibration, offline and online evals), tied to real product quality. - Strong experiment design and statistical rigor, including A/B testing, offline vs. online metrics, and separating real regressions from noisy or variable results. - Proven track record of applying LLMs and AI models to real-world, customer-facing product features. - Proven experience integrating and managing multiple LLMs, including benchmarking, routing, and cost/latency/quality tradeoffs. - Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure). - Strong programming skills in Python (preferred), Go, TypeScript, or similar languages used for backend and AI platform development. - Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Ray, or similar). - Familiarity with search and retrieval technologies and their integration into AI-driven applications. - Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams. - Passion for staying at the forefront of AI and applying new technologies to solve real-world problems at scale.   Nice to Have: - Background in data science, applied science, or machine learning engineering. - Experience with eval tooling (e.g., Braintrust, LangSmith, Weave, Arize, or in-house frameworks). - Experience with model routing, AI gateways, or inference optimization.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Oakland, California, United States 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 the role As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. What you'll own You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. What we're looking for Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $173,624 — $217,030 USD 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.

Location: Denver, Colorado, United States, AMER 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 the role As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. What you'll own You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. What we're looking for Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $162,772.50 — $203,465.50 USD 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.