Вакансии

Задачи: — Выстраивание прозрачного процесса от идеи до продакшена и обратной связи — Управление спринтами совместно с лидами разработки — Ведение, валидация и приоритезация бэклога (оценка эффектов и трудозатрат) — Планирование квартала и синхронизация с командой и стейкхолдерами — Контроль метрик здоровья продукта, построение дерева метрик, мониторинг — Участие в дискавери, работа с CJM, устранение разрывов на пути пользователя, улучшение UX, Look&Feel и скорости загрузки витрин — Оценка фактических эффектов после релизов и итерационное улучшение Требования: — Структурное мышление: умение декомпозировать сложные задачи и выстраивать логику — Владение продуктовыми инструментами и фреймворками (RICE, ICE, CJM, JTBD, A/B-тесты) — Обеспечение предсказуемого деливери: управление сроками, рисками и зависимостями — Навыки эффективной коммуникации со стейкхолдерами — Проактивность: предлагаешь решения, не ждёшь постановки задач — Удержание фокуса на качестве релизов, готовность брать ответственность за продукт и решения Условия: — Офис - ст. м. Шелепиха: гибридный формат — Оформление в соответствии с ТК РФ — Расширенный соц.пакет (ДМС+стоматология) — Перспективы профессионального и карьерного роста — Работа в амбициозной команде — Скидки во всех сетях Inventive Retail Group и компаниях-партнерах (фитнес, кредитование, путешествия, развлечения), конкурсы с ценными призами

Задачи: — Развивать и дорабатывать существующие решения на платформе 1С 8.3; — Разрабатывать новые механизмы и бизнес-логику; — Заниматься развитием и рефакторингом самописной управленческой базы; — Дорабатывать модуль учета строительных расходов на базе 1С:Управление торговлей; — Участвовать в автоматизации процессов магазина и интеграции с сайтом; — Участвовать во внедрении 1С:УНФ на производстве; — Обновлять релизы конфигураций и платформы; — Консультировать пользователей по работе с системами; — Тестировать доработки; — Разрабатывать внешние отчеты; — Писать программное обеспечение по техническим заданиям; — Работать с интеграциями и обменами между системами; — Заниматься вопросами производительности и диагностики информационных систем. Требования: — Высшее образование; — Опыт профессиональной разработки на 1С от 2 лет; — Уверенное знание платформы 1С 8.3 и её объектной модели; — Опыт разработки на управляемых формах; — Понимание обычных форм; — Опыт работы с 1С:УТ, 1С:ЗУП, 1С:Бухгалтерия; — Уверенное владение механизмом запросов и СКД; — Знание основ бухгалтерского и оперативного учета; — Опыт доработки и развития нетиповых решений; — Интеграция решений с различными базами данных как 1С, так и сторонними; — Способность самостоятельно разбираться в задачах и достаточно быстро входить в существующую систему. Условия: — Официальное оформление по ТК РФ (полный соц.пакет); — Формат работы: офис 5/2 с с 9:00 до 18:00; — Комфортное оборудованное рабочее место в современном офисе в Москва-Сити; — Стабильную и прозрачную заработную плату 2 раза в месяц; — Годовую премию по результатам работы; — Есть дресс-код - классический деловой стиль (рубашка, брюки, туфли/ботинки); — Работу в небольшой профессиональной команде, где разработчик непосредственно влияет на развитие внутренних систем компании.

Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Задачи: — Стратегическое развитие мобильного приложения как основного цифрового канала розничной сети: доставка, программа лояльности, рекламная платформа; — Фокус на развитии сервиса доставки: управление продуктовой воронкой от поиска товара до получения заказа, улучшение UX, сокращение времени оформления, рост конверсии в заказ; — Формирование и управление продуктовым roadmap совместно с командой разработки: приоритизация бэклога, спринты, контроль сроков и качества релизов; — Управление ростом аудитории приложения: привлечение новых пользователей, удержание, реактивация, работа с funnel от установки до первого и повторного заказа; — Поддержка команды программы лояльности: персонализация, механики вознаграждения, интеграция с покупательским поведением, измерение влияния на LTV и частоту покупок; — Развитие рекламной платформы в приложении: формирование инвентаря, таргетинга, форматов совместно с командой retail media, обеспечение технических возможностей для монетизации; — Постановка и контроль продуктовых метрик: MAU/DAU, retention, конверсия в заказ, средний чек, частота покупок, время доставки, NPS, ARPU, ROMI; — Анализ пользовательского поведения, проведение A/B-тестов, принятие решений на основе данных; — Взаимодействие со стейкхолдерами: согласование продуктовой стратегии с бизнес-целями розничной сети, защита решений перед руководством, управление ожиданиями. Требования: — Опыт работы в product management от 5 лет, из них в mobile-продуктах не менее 3-х лет; — Высшее образование (техническое, экономическое или управленческое); — Дополнительное образование в сфере product management, mobile product приветствуется; — Опыт руководства продуктовыми командами от 2 лет (CPO, Head of Product, Senior/Lead Product Manager); — Опыт развития мобильного приложения с аудиторией от 500 тыс. MAU — обязательно; — Опыт работы с e-commerce / delivery-продуктами (X5, Магнит, Яндекс, СберМаркет, Ozon, Samokat и аналоги); — Успешный опыт запуска или масштабирования сервиса доставки; — Опыт работы с программами лояльности и/или рекламными платформами в мобильных приложениях будет являться преимуществом; — Опыт управления roadmap в условиях нескольких бизнес-целей одновременно (доставка, лояльность, монетизация); — Глубокое знание мобильных продуктовых метрик: MAU, DAU, retention (D1/D7/D30), конверсия по воронке, churn rate, LTV, ARPU, ARPPU; — Принципы мобильного UX/UI, customer journey mapping, jobs-to-be-done; — Методологии разработки: Agile, Scrum, Kanban — понимание процессов и умение работать с командой разработки; — A/B-тестирование: постановка гипотез, расчёт выборки, анализ результатов, статистическая значимость; — Юнит-экономика мобильного приложения: CAC, LTV, payback period; — Основы мобильного маркетинга: ASO, push-стратегии, deep linking, attribution; — Понимание принципов монетизации через рекламу в мобильных приложениях (ad inventory, форматы, частота показов); — Принципы построения программ лояльности в ритейле: механики начисления/списания, сегментация, персонализация. Условия: — Работа в стабильной, динамично развивающейся Компании; — Белая заработная плата (оклад + премия, обсуждается на собеседовании); — Трудоустройство с первого рабочего дня, полный социальный пакет (оплачиваемые отпуска и больничные листы); — ДМС после испытательного срока; — Возможности развития и карьерного роста; — Корпоративное обучение в процессе работы; — График работы 5/2 (9:00-18:00); — Комфортабельный офис у м. Университет (БЦ "Капитолий"); — Развитая корпоративная культура.

NVIDIA is an American technology company that pioneered accelerated computing and builds AI infrastructure. Remote work. Available positions include: - Senior Developer Relations Manager – Smart Spaces and Local Government (Germany) - Developer Relations Manager – Agentic Healthcare AI (Switzerland / UK) - Developer Relations Manager – Energy (UK / Netherlands) - Developer Relations Manager – Manufacturing (Switzerland / UK / Germany) - Developer Relations Manager – Retail & Media Entertainment (Germany / UK / Sweden / Switzerland) - Developer Relations Manager – AI Natives, Nordics (Sweden) - Developer Relations Manager – AI Natives, UK & Ireland (UK) - Developer Relations Manager – France (France / Paris) - Senior Developer Relations Manager – DACH (Munich / Germany) - Developer Relations Manager – Southern Europe (Spain) - Developer Relations Manager – CIS (Armenia)

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Fullstack Engineer (Go / Kotlin & React) About the Team Merchant EMEA Engineering builds the technology that helps merchants join, grow, and operate successfully across our markets. Our organization brings together the strengths of Wolt and Deliveroo and supports merchants across 37 countries. We work across the merchant journey, including onboarding, business growth and support, analytics and recommendations, menu and order management, integrations, and merchant applications. Our teams sit close to the business. Rather than primarily building foundational platforms, we build products and features on top of our existing platforms to solve real merchant and market needs, including local business requirements, growth opportunities, and operational challenges. 📍This open role is based in our tech hubs in Helsinki or Berlin . Please note: This role requires being based in Berlin/Helsinki on a hybrid basis. We are currently unable to offer fully remote work, visa sponsorship, or relocation support for this opportunity. What You'll Do As a Fullstack Engineer, you'll contribute to products and services used across the merchant experience. You'll: Build and maintain production software across backend services and user-facing applications. Work on areas such as merchant onboarding, analytics, recommendations, menu and order management, integrations, or merchant-facing tools. Develop reliable APIs, data models, services, and user-facing features. Collaborate closely with product managers, designers, operations, and other engineers to turn business needs into practical technical solutions. Own features from implementation through production and ongoing maintenance. Contribute to technical design discussions and improve the quality, scalability, observability, and maintainability of our systems. Use AI-assisted development tools effectively as part of your engineering workflow, while critically evaluating their output and taking ownership of the final solution. Be willing to work outside your primary area of expertise when needed to solve the problem end-to-end. How We Work Ownership: Engineers take responsibility for the features and services they work on, from development to production. Collaboration: We work closely across engineering, product, design, data, and operations. Pragmatism: We value simple and maintainable solutions that create business impact without unnecessary complexity. Flexibility: We care more about solving the problem than strict frontend or backend boundaries. Our Tech Stack Our backend services primarily use Go and Kotlin , while our frontend applications use technologies such as TypeScript and React . We also work with technologies including Kafka, PostgreSQL, MongoDB, Redis, AWS, Kubernetes, Docker, gRPC, and modern cloud infrastructure. Our Humble Expectations We're looking for engineers who have: An AI-first mindset, with a deep experience in leveraging modern AI tools and solid engineering principles to solve problems end-to-end, independently of any specific technology stack. Proven experience building production software in backend, frontend, or fullstack environments end-to-end and at scale. Strong expertise in at least one area of the stack, with a willingness to contribute outside that area when needed. Experience with a modern backend language such as Go, Kotlin, Java, or similar, and/or modern frontend technologies such as TypeScript and React. Good understanding of APIs, databases, testing, and software design fundamentals. The ability to work independently on well-scoped problems and collaborate effectively with others. Good communication skills and a pragmatic, collaborative mindset. You do not need to be equally strong in frontend and backend. We welcome different balances of experience. You might be primarily a backend engineer who is comfortable making frontend changes when needed, or a frontend-focused engineer who is happy to work with APIs and backend services. What matters most is that you are comfortable working across boundaries to deliver the right solution. Nice to Have Experience in one or more of the following areas would be a plus: Merchant-facing or internal operational tools. Analytics, recommendations, or decisioning systems. Grocery, retail, restaurants, logistics, or marketplace technology. Integrations with external business systems. Kafka or other streaming technologies. Cloud infrastructure such as AWS, Kubernetes, or Docker. Why Join Us? You'll work on products that directly affect how merchants interact with Wolt, Deliveroo and DoorDash across Europe. The scope is broad and close to the business, giving you the opportunity to work on meaningful problems across different parts of the merchant journey while developing your skills across the stack. You can read more about our recruitment process here. here . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Lithuania About our client Our client is a family-run Japanese company with over 200 years of history and two key business divisions: food for human consumption and pet food. In Japan, our client is the No.1 pet food brand , known for its wide product portfolio and innovative, industry-defining product “Churu” . After significant domestic growth, the company continues to expand internationally with the mission to bring joy to pets and their owners worldwide. They are now seeking a highly motivated and energetic Sales Representative to join the team in Lithuania. Aiming for a person who wants to grow with the company and actively contribute to building the brand in an exciting market. If you enjoy meeting people, building relationships, and being part of a growing international brand, this role is for you. Main responsibilities: Serving customers by selling products and meeting customer needs in Lithuania Serving existing accounts by planning and organizing daily work schedule to call on existing or potential sales outlets and other trade factors. Keeping management informed by submitting activity and results reports, such as weekly work plans, and monthly analysis. Monitoring competition by gathering current marketplace information on pricing, products, new products, delivery schedules, and merchandising techniques. Resolving customer complaints by investigating problems, developing solutions, preparing reports, and making recommendations to management. Providing historical records by maintaining records on area and customer sales. Contributing to team effort by accomplishing related results as needed. Promoting our products at different events, such as expo or dog or cat shows etc. Requirements: You are enthusiastic, people-oriented and motivated to grow your career in sales. You enjoy being out in the market, meeting partners and representing a brand you believe in. Ideally you bring in: Experience in sales, retail or customer-facing roles (FMCG or pet industry is a plus) A commitment to excellent customer service. Excellent written and verbal communication skills. Fluent in Lithuanian. Knowledge of English is a plus. Superb interpersonal skills, including the ability to quickly build rapport with both customers and suppliers. Experience using computers for a variety of tasks. Competency in Microsoft applications including word, excel, and outlook. Able to work comfortably in a fast-paced environment. Valid driver's license required for job-related travel inside Lithuania Passion for pets and animal well-being What we offer: The chance to join an international premium brand on a strong growth path Real responsibility and room to grow Attractive compensation package including company car (also for private use) Professional onboarding and ongoing development A young, dynamic and international team Long-term career opportunities within a stable global company

Задачи: — Разработка генеративных ИИ-моделей для синтеза визуального и проектного контента на основе структурированных данных товарного каталога в рамках проверки гипотез (PoC) внутри корпоративной платформы по оценке ИИ-инициатив — Разработка архитектуры агентов: управление состоянием диалога и контекстом, динамический выбор инструментов (tool calling), настройка уровней автономности и сценариев human-in-the-loop — Построение системы метрик: разработка офлайн- и онлайн-показателей, кросс-валидация, прямая оценка бизнес-эффекта — Непрерывный мониторинг дрейфа моделей и качества данных в продакшене — Построение пайплайнов оценки (LLM Evals): контроль галлюцинаций, релевантности ответов и мониторинг поведения системы — Обеспечение безопасности: защита от prompt injection, предотвращение утечек персональных данных (PII/privacy) и аудит прав доступа агента — Оценка стоимости, latency и масштабируемости LLM-решений Требования: — Глубокое понимание жизненного цикла ML-модели: от подготовки признаков до интерпретации результатов — Знание методов борьбы с переобучением, data leakage, регуляризации — Уверенный выбор алгоритмов под задачу — Владение матстатистикой для проверки гипотез, расчета доверительных интервалов и самостоятельного дизайна A/B-тестов — Опыт работы хотя бы в одном из направлений: классическое машинное обучение, временные ряды и прогнозирование — Языки и библиотеки: Python (pandas/polars, NumPy, scikit-learn, CatBoost/XGBoost/LightGBM, PyTorch), продвинутый SQL — Написание поддерживаемого production-кода: модульная архитектура, юнит-тесты, логирование, документация, работа с GitFlow и код-ревью — Практический опыт работы с API языковых моделей, платформой Hugging Face и orchestration-фреймворками — Опыт работы в e-commerce, retail или других продуктовых highload-системах — Инфраструктура и оркестрация: Airflow, MLflow, Kafka, Redis, Kubernetes — Мониторинг и наблюдаемость: Prometheus, Grafana, OpenTelemetry — Опыт эксплуатации GPU-инфраструктуры и оптимизации inference — Адаптация моделей через fine-tuning (LoRA/PEFT) — Опыт проектирования agentic workflows или multi-agent-систем — Понимание принципов информационной безопасности, privacy и работы с персональными данными

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

Задачи: — Создание контента для площадок ТГ, ВК, ИГ, Тик Ток (посты, сторис) для ТРЦ Метрополис, г. Москва — Модерация комментариев и сообщений — Контентное наполнение сайта заказчика (картинки, тексты) — Подготовка контента для e-mail рассылок на основе контента для соц.сетей — Взаимодействие с арендаторами и маркетингом ТРЦ — Аналитика эффективности контента, соблюдение KPI — Подготовка внутренней отчетности, участие в рабочих встречах Требования: — Наличие опыта работы SMM-специалистом от 3 лет в beauty, retail, horeca — Наличие подтвержденных кейсов и портфолио — Грамотная устная и письменная речь, умение адаптировать стиль под tone of voice клиента — Хороший эстетический вкус и насмотренность — Повышенный интерес к моде, понимание актуальных и ситуативных трендов, креативность — Структурность, ответственность, способность работать в режиме многозадачности — Рассматриваются только кандидаты, постоянно проживающие в г. Москва Условия: — Примерный уровень вознаграждения: от 70 000 руб (обсуждается индивидуально) — Гибридный график в рамках дедлайнов — Дизайнер, видеомейкер и специалист по сайту в помощь — Рассматриваются для сотрудничества только физические лица со статусом ИП или СЗ — После отклика необходимо будет выполнить тестовое задание

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid At Rohlik, Supply Chain is about precision, speed and data. Every day we decide what customers will find in stock — and what they won’t. We’re now looking for a Supply Chain Specialist who will own a portfolio of categories and suppliers, ensuring strong product availability while keeping inventory healthy and waste under control.   WHY THIS ROLE IS EXCITING - You’ll have a direct impact on product availability for thousands of customers - You’ll work with real data, forecasts and business decisions - You’ll see the results of your work in both numbers and customer experience - You’ll collaborate across Category, Operations and Finance - You’ll help automate and improve how supply chain processes work - We are an AI-first company — you’ll work in an environment where forecasting, ordering and supply chain decisions are increasingly driven by data, automation and intelligent tools   WHAT YOU’LL DO You’ll take ownership of day-to-day supply chain performance within your scope. Specifically, you will: - Own demand forecasting, replenishment and ordering for assigned categories - Manage supplier operational performance and ensure SLA compliance (OTIF, shrink, ASN accuracy, lead times) - Partner with Category Managers, Fulfillment Operations and Finance to balance availability, cost and inventory health - Support automation and system improvements to reduce manual ordering - Resolve supplier and inventory issues before they impact customers - Track and act on key metrics such as forecast accuracy, shrink and availability   WHAT WE’RE LOOKING FOR - 1–3 years of experience in supply chain, replenishment, inventory management or similar role - Strong analytical mindset and communication skills - Advanced Excel skills; familiarity with BI tools is a plus - Experience in FMCG, grocery retail or e-commerce is an advantage - Knowledge of ERP or WMS systems is a plus - Fluent Czech/Slovak and advanced English   WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary — no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility – three days in the office, 2 days Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?

Задачи: — Разрабатывать модули ядра, микросервисы и интеграции с внешними системами. — Проектировать реляционные модели данных в PostgreSQL и оптимизировать запросы. — Разбираться в существующей архитектуре большого проекта и проводить рефакторинг. — Самостоятельно декомпозировать задачи и доводить их до продакшена. — Периодически дорабатывать интерфейсы административных панелей и личных кабинетов на React. Требования: — Коммерческий опыт в разработке на Node.js и NestJS — от 3 лет. — Уверенный TypeScript и понимание асинхронного программирования в Node.js. — Отличное знание SQL и PostgreSQL. — Умение самостоятельно разбираться в чужом коде без детальной документации. — Базовый опыт работы с React.js и готовность переключаться на UI-задачи. — Будет плюсом: опыт в foodtech, delivery, retail или логистике; опыт работы с геозонами, маршрутизацией, сменами/расписаниями или интеграцией с iiko. Условия: — Удалённая работа, полный рабочий день. — Вилка зарплаты от 200 000 до 250 000 рублей на руки. — Компенсация профильного обучения и курсов. — Регулярный пересмотр зарплаты при расширении зоны ответственности. — Работа в аккредитованной IT-компании Hiplabs.

Задачи: — Разработка и реализация digital-маркетинговой стратегии. — Продвижение PITAKA и других брендов компании в digital-каналах. — Ведение и развитие Instagram, Telegram и других онлайн-площадок. — Запуск и оптимизация таргетированной и контекстной рекламы. — Создание и реализация контент-плана. — Работа с блогерами и инфлюенсерами. — Участие в запусках новых продуктов и рекламных кампаниях. — Анализ конкурентов, аудитории и эффективности рекламных каналов. — Работа с рекламным бюджетом и маркетинговой аналитикой. — Взаимодействие с дизайнерами, SMM, контент-специалистами и подрядчиками. Требования: — Опыт работы Digital-маркетологом от 2 лет. — Практический опыт настройки и ведения digital-рекламы. — Понимание SMM, performance-маркетинга и digital-аналитики. — Опыт работы с брендами, retail, e-commerce, электроникой или гаджетами будет преимуществом. — Умение анализировать показатели и делать выводы на основе данных. — Креативность и самостоятельность. — Русский и узбекский — свободно. — Английский — преимущество. Условия: — Официальное трудоустройство. — Работу с международными премиальными брендами. — Возможность развивать PITAKA на рынке Узбекистана. — Профессиональный рост. — Современная рабочая среда и команда. — ЗП и график работы обсуждаются индивидуально на собеседовании.

Location: Calapan City, Philippines As a Luxury Brand Evaluator, you will step into the world of luxury to discreetly assess customer experiences and provide critical feedback that helps brands refine their services, your insights will shape the future of luxury experiences. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - visit boutiques, check ambience, experience luxury automotive showrooms, purchase online, evaluate after-sales services, or overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Willingness to adapt to varying assignment types and industries. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys Benefits This is a freelance , project-based position Flexible working hours

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE The @Work team is responsible for OnePay's employer benefit features, including Instapay, savings, and budgeting. As a Full Stack Engineer at OnePay, you will build simple and beautiful experiences for people's crucial daily interactions with their money, earnings, and pay schedules. WHAT YOU’LL DO - Lead technical design and implementation for projects powering our @work platform - Set architectural standards and ensure best practices in code quality, performance, and scalability - Partner closely with product, design, and operations to shape and deliver @Work product strategy - Oversee optimization of systems for reliability, security, and scalability - Own technical decision-making, balancing rapid delivery and sustainable solutions YOU BRING - 7+ years of experience building and scaling distributed systems, high-throughput APIs, or data-intensive services - Solid hands-on full-stack engineering skills, with proficiency in backend architecture and modern frontend frameworks - Experience designing or working on reliable, secure, and high-performance systems -ideally in payments, EWA, or other regulated consumer finance domains - Clear communication skills and a collaborative working style - Initiative and growth mindset - eager to learn and contribute as a team player TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .