Задачи:
— Работа над нарративом для хоррор игры от первого лица на PC.
Требования:
— Коммерческий опыт работы Narrative Designer.
— Уверенная дизайнерская база.
— Опыт в сценарном и диалоговом дизайне.
— Опыт работы с игровыми движками.
— Опыт работы с локализацией.
— Специализация в фольклоре/мифологии.
Условия:
— Полная занятость (Full-time).
— Удалённая работа.
— Опытная команда.
— Рыночная оплата.
— Возможно тестовое задание.
Обязательно прикреплять портфолио и примеры документации.
Ищем Lead Data Scientist, который будет развивать ML-решения для рекламной монетизации, персонализации и рекомендаций, а также вести и менторить Data Science-команду. • 5+ лет опыта в Data Science, желательно в consumer mobile-продуктах.
Задачи:
— участие в разработке кооперативного хоррора как Game Designer Generalist
Требования:
— сильная дизайнерская база
— системное мышление
— портфолио с примерами фичей и документации
— понимание процессов разработки игр
Будет плюсом:
— опыт фичервнерства
— опыт работы с Unity
— опыт работы с кооперативными или мультиплеерными играми
Условия:
— удаленная работа
— full-time
— рыночная компенсация
— небольшая сильная команда
— есть небольшое тестовое задание
Software Developer Security Analytics — RedMimicry. Remote - Location: Mostly remote (within Germany), with monthly in-person collaboration at our Berlin officeHours: Full-time, 40 hours per weekContract: Fixed-termSalary: EUR 69,000 â 77,000We are building a new capability that turns fragmented, noisy security logs...
Anthropic Fellows Program overview:
The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews.
What to expect:
— 4 months of full-time research
— Direct mentorship from Anthropic researchers
— Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country
— Funding for compute (~$15k/month) and other research expenses
Interview process:
Includes initial application and reference check, assessments and interviews, and a research discussion.
Compensation:
Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension.
The Anthropic Institute Fellows (Economics & Policy):
Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker).
Projects may include:
— Designing and conducting empirical research on AI's economic effects using external data sources
— Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society
— Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale
— Measuring model performance increases with custom harnesses
— Identifying market-driven mechanisms to improve societal resilience to AI threats
— Identifying AI R&D metrics as early warning signals for recursive self-improvement
Candidate criteria:
— Interest in economics or policy research; prior experience is a plus but not required
— Adaptable and collaborative, able to take direction and contribute to team priorities
— Skilled at writing and communicating results, including null or unexpected findings
— Passionate about translating research insights into actionable recommendations for AI systems and policy
Good fit if:
— Motivated to ensure AI is safe and beneficial for society
— Interested in transitioning into AI research and possibly a full-time role at Anthropic
— Strong track record of empirical research
— Thrives in fast-paced, collaborative environments
— Can implement ideas quickly and communicate clearly
Requirements:
— Fluent in Python programming
— Available full-time for the Fellows program
Logistics:
— Must have work authorization and be located in the US, UK, or Canada during the program
— Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada
— No visa sponsorship available; candidates must have or obtain full-time work authorization independently
— Program duration is 4 months full-time; partial commitments considered case-by-case
Additional notes:
— The program encourages applications from underrepresented groups and those who may doubt their qualifications.
— Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
— Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested.
The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses.
The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion.
There are two main fellow tracks:
ML Systems & Performance Fellows:
- Mentors include Alwin Peng and Zygi Straznickas.
- Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines.
- Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training.
- Fluency in Python and full-time availability are required.
Reinforcement Learning Fellows:
- Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams.
- Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms.
- Candidate criteria are similar to ML Systems Fellows.
Logistics:
- Participants must have work authorization and be located in the US, UK, or Canada during the program.
- Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada.
- Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently.
- The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments.
Additional notes:
- No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere.
- Anthropic's full-time role policies do not apply to the Fellows Program.
- The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability.
- Candidates must be fluent in Python and able to commit full-time.
- The program values diversity and encourages applications from underrepresented groups.
- Safety advice is provided regarding recruitment communications.
Apply at the provided link.
Company Overview:
Legion Technologies is a pioneer in AI-powered workforce management, offering a SaaS platform that helps large enterprises optimize labor efficiency and improve hourly employee experience through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools. The mission is to transform hourly jobs into good jobs by providing intelligent automation and greater employee flexibility via a mobile app.
Role Summary:
The General Counsel (GC) is the chief legal officer and a key executive team member responsible for leading global legal, intellectual property, and corporate functions. The GC partners strategically with the CEO, executive team, and Board, building a high-performing legal organization to support growth, globalization, and product innovation. The GC oversees legal strategy across commercial/SaaS, privacy, AI governance, labor, corporate governance, IP, compliance, and risk management.
Key Responsibilities:
1. Legal Strategy & Leadership:
— Develop and execute legal strategy aligned with business objectives.
— Advise CEO, executives, and Board on legal, regulatory, governance, risk, compliance, fundraising, and transactions.
— Build and lead in-house legal team; manage external counsel.
— Establish scalable legal processes and playbooks.
2. Corporate Governance & Financing:
— Serve as corporate secretary; manage Board and committee governance.
— Oversee corporate structure, subsidiaries, and compliance.
— Support equity and debt financings, investor negotiations, and governance.
— Partner with Finance and People teams on equity plans and disclosures.
3. Commercial, Product & Partnership Counsel:
— Provide legal support for commercial operations including SaaS subscriptions, services, partner agreements, and data processing terms.
— Collaborate with Sales, Customer Success, Partnerships to manage deal cycles and risk.
— Partner with Product, Engineering, Security to ensure compliance of AI-enabled platform and integrations.
— Counsel on product features, AI use cases, mobile app, and international expansion.
4. Privacy, Data Protection & Terms of Use:
— Own global privacy and data protection program, ensuring compliance with US and international laws.
— Oversee Terms of Service, privacy policies, and product policies.
— Support security reviews, audits, incident response.
— Develop policies and training on data governance and ethical AI use.
5. Labor, Employment & Workforce Compliance:
— Advise on employment matters including hiring, terminations, performance, compensation.
— Support People team on labor law-compliant policies.
— Guide product features supporting labor and scheduling law compliance.
6. Intellectual Property & Innovation:
— Develop and implement global IP strategy covering patents, trademarks, copyrights, trade secrets, open-source.
— Partner with Product and Engineering to protect AI and workforce management innovations.
— Manage IP enforcement and defense.
7. Regulatory, Compliance & Risk Management:
— Monitor legal developments in AI, data privacy, employment, software.
— Design risk and compliance frameworks.
— Support investigations, ethics initiatives.
— Coordinate insurance coverage and claims.
8. Strategic Transactions & Corporate Development:
— Lead legal aspects of M&A, investments, partnerships.
— Provide guidance on competition, antitrust, regulatory issues.
Qualifications:
— J.D. degree and membership in good standing with a US state bar.
— 15+ years combined experience in top-tier law firms and in-house roles, including senior GC roles at high-growth tech or SaaS companies.
— Deep expertise in enterprise SaaS contracting, corporate governance, data privacy, IP strategy.
— Proven leadership in building legal teams supporting growth and international expansion.
— Business-minded advisor balancing risk and commercial objectives.
Preferred:
— Experience in HR tech, workforce management, fintech, or data-intensive SaaS.
— Leadership in AI/ML product legal and ethical issues.
— Experience with global customers across North America, EMEA, APAC.
— Experience with large enterprise and strategic partners like SAP.
Skills & Attributes:
— Exceptional judgment, integrity, discretion.
— Strong communication translating legal issues for non-legal stakeholders.
— Collaborative, low-ego leadership.
— Practical, fast-paced, high-growth environment comfort.
— Passion for improving hourly work.
Additional Information:
— Full-time, exempt position.
— Some travel required.
— Competitive compensation including salary, equity, benefits.
Compensation & Benefits:
— Base salary $250,000 - $300,000 plus bonus and stock equity.
— Benefits include flexible medical, dental, vision plans, 401k, paid time off, parental leave, wellness reimbursement, monthly lunch.
Equal Employment Opportunity:
— Legion is an equal opportunity employer committed to diversity and inclusion.
Contact for disability accommodation: recruiting@legion.co
Что важно:
• Сильная дизайнерская база
• Системное мышление
• Портфолио с примерами фичей и документации
• Понимание процессов разработки игр
Будет плюсом:
• Опыт фичервнерства
• Опыт работы с Unity
• Опыт работы с кооперативными или мультиплеерными играми
Условия:
• Удаленно
• Full-time
• Рыночная компенсация
• Небольшая сильная команда
• Есть небольшое тестовое задание
Задачи:
— разработка, обучение и оптимизация ML/AI-моделей на PyTorch и/или TensorFlow
— проектирование end-to-end ML-пайплайнов
— работа с LLM, NLP, Computer Vision и Generative AI
— подготовка моделей к production и масштабированию
— интеграция моделей с backend
— оптимизация inference и производительности
— построение MLOps-процессов
— работа с Docker и cloud-инфраструктурой
— принятие архитектурных решений и техническое руководство AI-командой
Требования:
— от 4 лет коммерческого опыта в Machine Learning / AI Engineering
— практический опыт разработки и внедрения ML-моделей в production
— уверенный Python
— PyTorch и/или TensorFlow
— понимание Machine Learning и Deep Learning
— знание ML-метрик и методов оптимизации моделей
— Docker, Git
— AWS или аналогичные cloud-платформы
— практический опыт с MLflow, Kubeflow, AWS SageMaker или аналогичными MLOps-инструментами
— свободный английский язык
Условия:
— full-time
— офис в Ташкенте
— официальное трудоустройство по ТК Узбекистана
— вилка от $3,500
About Magic Eden and Dicey
Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI.
The role
The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions.
What you'll do
— Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics
— Own and evolve the player segmentation framework, deciding signals and company usage
— Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution
— Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them
— Analyze data warehouse and on-chain data to find patterns and create campaigns proactively
— Expand player signals including on-chain activity, status-match programs, social account linking, and others
— Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting
— Collaborate with engineering and design to create product surfaces that enable repeatable processes
What they're looking for
— Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful
— Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists
— AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further
— High output with good judgment, generating many ideas and prioritizing tests effectively
— Bias to do it yourself, comfortable executing emails, queries, and specs personally
— Comfortable with ambiguity and building new playbooks
Backgrounds that tend to fit
— Growth PM at data-heavy consumer companies
— MBB consultants transitioning to product ownership
— Product-minded data scientists or analysts focused on shipping rather than reporting
Why this is interesting
— Competitive, top-of-market compensation
— Defining the role of a growth PM in an AI-native company without existing playbooks
— Early involvement in personalized retention, a key industry trend
— Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders
Задачи:
— Разработка и поддержка автотестов на TypeScript + Playwright (UI + API)
— Анализ логов и взаимодействий между сервисами
— Работа с дефектами
Требования:
— Опыт тестирования ПО от 5 лет (включая опыт автоматизации от 3 лет)
— Понимание видов и методик тестирования (функциональное, регрессионное, интеграционное, e2e, smoke)
— Опыт работы в Agile-командах (Scrum / Kanban)
— Уверенные знания TypeScript / JavaScript
— Опыт разработки и поддержки e2e UI тестов
— Практический опыт с Playwright API (APIRequestContext) или аналогичными инструментами
— Умение писать стабильные тесты (работа с ожиданиями, retry, устранение flaky-тестов)
— Опыт интеграции автотестов в CI/CD (GitLab CI, GitHub Actions, Jenkins и др.)
— Навыки работы с отчетами (Allure, Playwright и др.)
— Понимание принципов тестирования микросервисной архитектуры
— Понимание HTTP/HTTPS, REST, методов (GET/POST/PUT/DELETE)
— Опыт тестирования API с использованием Postman/Swagger/curl
— Умение валидировать JSON/XML ответы (схемы, структуры, данные)
— Опыт работы с авторизацией (JWT, OAuth2, cookies, headers)
— Навыки тестирования интеграций между сервисами
— Опыт работы с багтрекинг-системами (Jira или аналогами)
— Знание SQL и опыт написания запросов (PostgreSQL/MSSQL)
— Понимание клиент-серверной архитектуры
— Опыт работы с *nix системами и Windows
— Навыки работы с Docker (будет плюсом)
— Опыт работы с SSH
— Опыт нагрузочного тестирования API (будет плюсом)
— Базовые знания Node.js (будет плюсом)
— Опыт менторинга или code review автотестов (будет плюсом)
Условия:
— full-time
Что ищем:
• Коммерческий опыт работы
• Уверенная дизайнерская база
• Сценарный и диалоговый опыт
• Опыт с игровыми движками и локализацией
• Специализация в фольклоре/мифологии
Условия:
• Full-time
• Удаленно
• Опытная команда
• Рыночная оплата
• Возможно тестовое задание
Обязательно прикрепляйте портфолио и примеры документации
Задачи:
• Вести онбординг мерчантов от настройки аккаунтов до запуска в прод
• Помогать партнерам с API-интеграцией, тестированием и настройкой платежей
• Разбирать первичные технические баги, собирать логи и координировать решение с ИТ-командой
Требования:
• 2+ года опыта в FinTech / Payments / PSP / процессинге (Merchant Implementation, Tech AM или интеграционный саппорт)
• Понимание платежных циклов, базовые знания API, HTTP, вебхуков
• Опыт работы с Postman
Условия:
• Локация: Cyprus / Larnaca
• Формат работы: Full-time
• Русский язык: свободно
• Английский язык: Upper-Intermediate / Fluent (работа с зарубежными партнерами)
Задачи:
— Закрытие инфраструктуры, CI/CD, Kubernetes, мониторинг, секреты и автоматизация.
— Настройка и оптимизация CI/CD в GitLab CI.
— Внедрение и поддержка Kubernetes.
— Настройка мониторинга с Prometheus, Grafana, Loki, Alertmanager.
— Автоматизация инфраструктуры с использованием Terraform и Ansible.
— Управление секретами и доступами через HashiCorp Vault.
— Работа с базами данных PostgreSQL и mongoDB, включая HA и backup/restore.
— Обеспечение безопасности: RBAC, NetworkPolicy, Pod Security.
— Работа с инфраструктурой в Yandex Cloud и proxmox.
Практический опыт:
— Работа с нейронными сетями для трекинга лиц на Tesla T4.
— Создание админки для управления терминалами.
— Разработка MVP моделей новых систем.
— Настройка локальной инфраструктуры в ЦОДе компании.
— Участие в разработке инфраструктуры новых продуктов.
— Выполнение функций SRE на проектах во время мероприятий.
— Внедрение CDN и Kubernetes, настройка инфраструктуры с возможностью отключения интернета, сокращение времени релизов на 20%.
— Настройка Terraform-инфраструктуры в Yandex Cloud и proxmox, автоматизация кластеров, сети, DNS, балансировщиков и IAM.
— Внедрение Prometheus, Grafana, Loki, Alertmanager и blackbox, сокращение времени обнаружения инцидентов до 3 минут.
— Оптимизация GitLab CI: добавление кэширования, параллельных джобов, встроенное SAST/DAST-сканирование образов, сокращение времени сборки с 10 до 3-5 минут.
— Внедрение агента для поиска уязвимостей.
— Внедрение HashiCorp Vault с настройкой Kubernetes auth, AppRole и доставки секретов через Agent Injector.
— Опыт работы с big data объемом около 20 ТБ.
Требования:
— Опыт работы DevOps-инженером от 3 лет.
— Знание и опыт работы с Linux, Docker, Kubernetes, GitLab CI, Terraform, Ansible, Vault, Prometheus, Grafana, Loki, Alertmanager.
— Опыт работы с PostgreSQL, Yandex Cloud.
— Навыки автоматизации и обеспечения безопасности инфраструктуры.
Условия:
— Формат работы: удалённо или гибрид.
— Занятость: full-time или part-time.
— Оформление обсуждаемо.
— Ожидаемая зарплата: 200000 рублей в месяц.
Требования:
— Гражданство и локация РФ
— Уверенный опыт промышленной разработки на платформе 1С
— Хорошее знание стандартов разработки 1С и готовность писать код с учетом обязательного code review и автоматизированного контроля качества
— Опыт разработки и проектирования интеграций
— Понимание принципов построения API, интеграционных контрактов и обмена сообщениями
— Опыт работы с 1С:EDT и Git либо готовность быстро освоить эти инструменты
— Опыт использования ИИ-инструментов в разработке либо готовность быстро освоить такие подходы
— Способность самостоятельно разбираться в требованиях и выполнять часть аналитической работы
— Практический опыт работы с 1С:Управление холдингом и знание основных механизмов конфигурации
— Опыт работы с другими финансовыми конфигурациями 1С: ERP, ERP.УХ, БИТ.ФИНАНС
— Опыт работы с 1С:Шина
Обязанности:
— Разработка и развитие решений на платформе 1С
— Проектирование и реализация интеграций с внешними системами
— Анализ и декомпозиция требований, участие в выборе технических решений
— Работа с конфигурацией 1С:Управление холдингом
— Разработка в соответствии с принятыми стандартами и архитектурными принципами
— Работа в современном командном процессе разработки с использованием 1С:EDT и Git, code review, статического анализа и Sonar
— Использование ИИ-инструментов в разработке: генерация и анализ кода, рефакторинг, тестирование, документирование и другие сценарии AI-assisted development
— При необходимости — выполнение части задач аналитика: уточнение требований, описание взаимодействий и согласование решений со смежными командами
Условия:
— Full-time, 5/2
— Вилка до 210к рублей на руки
Что ищем:
• Коммерческий опыт работы
• Уверенная дизайнерская база
• Сценарный и диалоговый опыт
• Опыт с игровыми движками и локализацией
• Специализация в фольклоре/мифологии
Условия:
• Full-time
• Удаленно
• Опытная команда
• Рыночная оплата
• Возможно тестовое задание
Обязательно прикрепляйте портфолио и примеры документации
Что ищем:
• Коммерческий опыт
• Сильная дизайнерская база
• Свободное владение Unity
Условия:
• Full-time
• Удаленно
• Опытная команда
• Рыночная оплата
• Возможно тестовое задание
Обязательно прикрепляйте примеры дизайн-документации.