Анализ сайта jp.shanda.com
Основное Готовность: 95%
Домен
jp.shanda.com
Состояние доменного имени
?
Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Используйте для продвижения только домен второго уровня.
Отличный запоминающийся домен.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
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Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Сервер настроен корректно.
Цепочка редиректов:
http://jp.shanda.com
301 MovedPermanently
https://jp.shanda.com/
200 OK
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
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HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
Не настроен HSTS (Strict-Transport-Security) — рекомендуется включить.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 21.10.2026 10:21:09.
HTTP автоматически перенаправляется на HTTPS.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
UTF-8
Кодировка символов страницы
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Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице UTF-8.
Язык
ja
Атрибут lang в HTML-теге
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Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: ja.
Скорость загрузки
~1,99сек
Время отклика сервера (TTFB)
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Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 1,99сек превышает 1 секунду. Желательно улучшить работу сайта!
Объем документа
225Кб
Размер HTML-кода страницы
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Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 225Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 3
Внешние ресурсы страницы (CSS, JS, изображения)
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Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 3 достаточно.
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css | |
| js | https://cdn.tailwindcss.com | |
| js | https://echarts.apache.org/zh/js/vendors/echarts/dist/echarts.min.js |
Серверные заголовки
Кол-во: 5
HTTP-заголовки ответа сервера
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Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 5шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Server | nginx |
| Date | Sat, 22 Aug 2026 10:56:31 GMT |
| Vary | Accept-Encoding |
| ETag | "69d744a2-39996" |
| Accept-Ranges | bytes |
CMS
Не определена
Система управления сайтом (движок)
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CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
CMS не определена. Вероятно, сайт самописный либо движок надёжно скрыт. Это не ошибка.
Веб-сервер
nginx
Программное обеспечение сервера
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Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
Сайт работает на веб-сервере nginx.
Мета-теги Готовность: 32%
Title
盛大グループ株式会社 / Shanda Group Corp - ゲーム・エンターテインメント向けAI技術の研究開発
Заголовок страницы в браузере и поисковой выдаче
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Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо уменьшить число символов в title (текущее значение: 58, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
Описание страницы в поисковой выдаче (сниппет)
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Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Установите мета-тег description!
Keywords
Список ключевых слов страницы (устаревший тег)
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Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
Указывает поисковику основную версию страницы
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Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Рекомендуем прописать канонический Url.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
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Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
minimum-scale=1, initial-scale=1, width=device-width, user-scalable=no
Настройка масштабирования на мобильных устройствах
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Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Meta-тег viewport со значением user-scalable определяет доступность масштабирования страницы пользователем.
Meta-тег viewport со значением minimum-scale определяет минимальный масштаб области просмотра.
Разметка OpenGraph
Не найдено
Мета-теги для красивых превью в соцсетях
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OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph не задана. Страница не оптимизирована под социальные сети. Мета-теги с разметкой Og помогают социальным роботам лучше структурировать Ваш сайт.
Все мета-теги
Кол-во: 1
Полный список мета-тегов страницы
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Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 1шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | viewport | minimum-scale=1, initial-scale=1, width=device-width, user-scalable=no |
Оптимизация Готовность: 82%
Структура
Ошибок нет
Семантические HTML-элементы страницы
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Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют в единственном экземпляре).
Контент
Ошибок нет
Объём и качество текстового содержимого
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Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 4 встречаются в тексте достаточно.
Абзацев с текстом 70 достаточно.
Среднее число слов в абзаце 63 достаточно.
Кол-во знаков контента 10227 на странице оптимально.
Кол-во слов 1068 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
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H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 2. Это прекрасно.
На странице присутствуют заголовки <h2> 12. Это хорошо.
На странице присутствуют заголовки <h3> 30.
Тошнота
4,36
Насколько одно слово доминирует в тексте
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Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 3. Измените текст страницы!
Академич. тошнота
32,87%
Насколько текст перенасыщен ключевыми словами
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Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота превышает норму 5-15%. Измените текст страницы!
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
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Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| research | 19 | 1,78% |
| contact | 11 | 1,03% |
| technology | 10 | 0,94% |
| shanda | 9 | 0,84% |
| through | 9 | 0,84% |
| opportunities | 8 | 0,75% |
| models | 8 | 0,75% |
| learning | 8 | 0,75% |
| gaming | 7 | 0,66% |
| generation | 7 | 0,66% |
| training | 7 | 0,66% |
| experience | 7 | 0,66% |
| innovate | 6 | 0,56% |
| skills | 6 | 0,56% |
| career | 5 | 0,47% |
| entertainment | 5 | 0,47% |
| building | 5 | 0,47% |
| industry | 5 | 0,47% |
| innovation | 5 | 0,47% |
| language | 5 | 0,47% |
Индексация Готовность: 80%
Индексирование
Ошибок нет
Разрешено ли индексирование страницы
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Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 42 оптимально. Поисковые роботы обязательно проиндексируют сайт.
Robots.txt
Найден корректный robots.txt
Файл управления сканированием сайта роботами
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Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Robots.txt настроен корректно. Размер файла: 231282 байт. Загружен за: 2сек.
Проверяемая страница не запрещена в robots.txt.
Robots.txt доступен по постоянному адресу
Цепочка редиректов для файла robots.txt:
http://jp.shanda.com/robots.txt
301 MovedPermanently
https://jp.shanda.com/robots.txt
200 OK
Показать содержимое robots.txt
<!DOCTYPE html>
<html lang="ja"><head>
<meta charset="UTF-8">
<meta name="viewport" content="minimum-scale=1, initial-scale=1, width=device-width, user-scalable=no">
<title>盛大グループ株式会社 / Shanda Group Corp - ゲーム・エンターテインメント向けAI技術の研究開発</title>
<!-- Tailwind CSS -->
<script src="https://cdn.tailwindcss.com"></script>
<!-- Font Awesome -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<!-- ECharts -->
<script src="https://echarts.apache.org/zh/js/vendors/echarts/dist/echarts.min.js"></script>
<style>
:root {
--sb-track-color: transparent;
--sb-thumb-color: rgb(180, 180, 180);
--sb-size: 5px;
--shanda-red: #002C47;
--shanda-blue: #002C47;
}
::-webkit-scrollbar {
width: var(--sb-size);
height: var(--sb-size);
}
::-webkit-scrollbar-track {
background: var(--sb-track-color);
border-radius: 5px;
}
::-webkit-scrollbar-thumb {
background: var(--sb-thumb-color);
border-radius: 5px;
}
@supports not selector(::-webkit-scrollbar) {
body {
scrollbar-color: var(--sb-thumb-color) var(--sb-track-color);
}
}
html {
height: 100%;
scroll-behavior: smooth;
}
body {
height: 100%;
}
nav, .nav, .navbar {
overflow: hidden;
}
.gradient-bg {
background: linear-gradient(135deg, var(--shanda-red) 0%, var(--shanda-blue) 100%);
}
.card-hover {
transition: all 0.3s ease;
}
.card-hover:hover {
transform: translateY(-5px);
box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
}
.timeline-item::before {
content: '';
position: absolute;
left: -6px;
top: 0;
width: 12px;
height: 12px;
border-radius: 50%;
background: var(--shanda-red);
}
.mobile-menu {
transform: translateX(-100%);
transition: transform 0.3s ease;
}
.mobile-menu.open {
transform: translateX(0);
}
.text-shanda-red {
color: var(--shanda-red);
}
.text-shanda-blue {
color: var(--shanda-blue);
}
.bg-shanda-red {
background-color: var(--shanda-red);
}
.bg-shanda-blue {
background-color: var(--shanda-blue);
}
.border-shanda-red {
border-color: var(--shanda-red);
}
.hover\:bg-shanda-red:hover {
background-color: var(--shanda-red);
}
.hover\:text-shanda-red:hover {
color: var(--shanda-red);
}
.hover\:text-shanda-blue:hover {
color: var(--shanda-blue);
}
.lang-toggle {
position: fixed;
top: 80px;
right: 20px;
z-index: 60;
background: white;
border: 2px solid var(--shanda-red);
border-radius: 25px;
padding: 5px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
}
.lang-btn {
padding: 8px 16px;
border-radius: 20px;
transition: all 0.3s ease;
cursor: pointer;
font-weight: 500;
}
.lang-btn.active {
background-color: var(--shanda-red);
color: white;
}
.lang-btn:not(.active) {
color: var(--shanda-red);
}
.lang-btn:not(.active):hover {
background-color: rgba(0, 44, 71, 0.1);
}
.lang-content {
display: none;
}
.lang-content.active {
display: block;
}
</style>
<style>*, ::before, ::after{--tw-border-spacing-x:0;--tw-border-spacing-y:0;--tw-translate-x:0;--tw-translate-y:0;--tw-rotate:0;--tw-skew-x:0;--tw-skew-y:0;--tw-scale-x:1;--tw-scale-y:1;--tw-pan-x: ;--tw-pan-y: ;--tw-pinch-zoom: ;--tw-scroll-snap-strictness:proximity;--tw-gradient-from-position: ;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-color:rgb(59 130 246 / 0.5);--tw-ring-offset-shadow:0 0 #0000;--tw-ring-shadow:0 0 #0000;--tw-shadow:0 0 #0000;--tw-shadow-colored:0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }::backdrop{--tw-border-spacing-x:0;--tw-border-spacing-y:0;--tw-translate-x:0;--tw-translate-y:0;--tw-rotate:0;--tw-skew-x:0;--tw-skew-y:0;--tw-scale-x:1;--tw-scale-y:1;--tw-pan-x: ;--tw-pan-y: ;--tw-pinch-zoom: ;--tw-scroll-snap-strictness:proximity;--tw-gradient-from-position: ;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-color:rgb(59 130 246 / 0.5);--tw-ring-offset-shadow:0 0 #0000;--tw-ring-shadow:0 0 #0000;--tw-shadow:0 0 #0000;--tw-shadow-colored:0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }/* ! tailwindcss v3.4.17 | MIT License | https://tailwindcss.com */*,::after,::before{box-sizing:border-box;border-width:0;border-style:solid;border-color:#e5e7eb}::after,::before{--tw-content:''}:host,html{line-height:1.5;-webkit-text-size-adjust:100%;-moz-tab-size:4;tab-size:4;font-family:ui-sans-serif, system-ui, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";font-feature-settings:normal;font-variation-settings:normal;-webkit-tap-highlight-color:transparent}body{margin:0;line-height:inherit}hr{height:0;color:inherit;border-top-width:1px}abbr:where([title]){-webkit-text-decoration:underline dotted;text-decoration:underline dotted}h1,h2,h3,h4,h5,h6{font-size:inherit;font-weight:inherit}a{color:inherit;text-decoration:inherit}b,strong{font-weight:bolder}code,kbd,pre,samp{font-family:ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", 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;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-color:rgb(59 130 246 / 0.5);--tw-ring-offset-shadow:0 0 #0000;--tw-ring-shadow:0 0 #0000;--tw-shadow:0 0 #0000;--tw-shadow-colored:0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }/* ! tailwindcss v3.4.17 | MIT License | https://tailwindcss.com 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;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-color:rgb(59 130 246 / 0.5);--tw-ring-offset-shadow:0 0 #0000;--tw-ring-shadow:0 0 #0000;--tw-shadow:0 0 #0000;--tw-shadow-colored:0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }/* ! tailwindcss v3.4.17 | MIT License | https://tailwindcss.com 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;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }::backdrop{--tw-border-spacing-x:0;--tw-border-spacing-y:0;--tw-translate-x:0;--tw-translate-y:0;--tw-rotate:0;--tw-skew-x:0;--tw-skew-y:0;--tw-scale-x:1;--tw-scale-y:1;--tw-pan-x: ;--tw-pan-y: ;--tw-pinch-zoom: ;--tw-scroll-snap-strictness:proximity;--tw-gradient-from-position: ;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width:0px;--tw-ring-offset-color:#fff;--tw-ring-color:rgb(59 130 246 / 0.5);--tw-ring-offset-shadow:0 0 #0000;--tw-ring-shadow:0 0 #0000;--tw-shadow:0 0 #0000;--tw-shadow-colored:0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: ;--tw-backdrop-opacity: ;--tw-backdrop-saturate: ;--tw-backdrop-sepia: ;--tw-contain-size: ;--tw-contain-layout: ;--tw-contain-paint: ;--tw-contain-style: }/* ! tailwindcss v3.4.17 | MIT License | https://tailwindcss.com */*,::after,::before{box-sizing:border-box;border-width:0;border-style:solid;border-color:#e5e7eb}::after,::before{--tw-content:''}:host,html{line-height:1.5;-webkit-text-size-adjust:100%;-moz-tab-size:4;tab-size:4;font-family:ui-sans-serif, system-ui, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";font-feature-settings:normal;font-variation-settings:normal;-webkit-tap-highlight-color:transparent}body{margin:0;line-height:inherit}hr{height:0;color:inherit;border-top-width:1px}abbr:where([title]){-webkit-text-decoration:underline dotted;text-decoration:underline 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盛大グループ株式会社
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ゲーム・エンターテインメント向けAI技術の研究開発に特化し、世界をリードするゲーム産業AIプラットフォームとイノベーションエンジンの構築を目指しています
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詳細を見る
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採用情報
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Shanda Group Corp
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Focused on AI technology R&D for gaming and entertainment, committed to building the world's leading gaming industry AI platform and innovation engine
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Learn More
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盛大グループ株式会社は令和2年4月27日に設立され、ゲーム・エンターテインメント向けAI技術の研究開発に特化し、「We Learn, We Innovate, We Never Stop」の企業理念を掲げています
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Shanda Group Corp was established on April 27, 2020, focusing on AI technology R&D for gaming and entertainment, adhering to the corporate philosophy of "We Learn, We Innovate, We Never Stop"
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_45">設立年月日：</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_46">令和2年4月27日</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_48">東京都港区六本木7-7-7 Tri-seven 六本木10F-1</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_50">チェンティエンチャオ</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_51">資本金：</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_52">４億9000万円</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_54">40名（インターンを含む）</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_56">03−6433−5011</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_58">jp@shanda.com</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_60">Established:</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_61">April 27, 2020</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_62">Address:</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_63">10F-1, Tri-Seven Roppongi, 7-7-7 Roppongi, <br>Minato-ku, Tokyo</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_65">Chen Tianqiao</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_66">Capital:</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_67">490 million yen</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_68">Employees:</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_69">40 (including interns)</span>
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<span class="text-gray-700" data-editable="true" id="editable_1754277675890_71">03-6433-5011</span>
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<span class="font-semibold text-gray-700 w-32" data-editable="true" id="editable_1754277675890_72">Email:</span>
<span class="text-gray-700" data-editable="true" id="editable_1754277675890_73">jp@shanda.com</span>
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We Learn, We Innovate, We Never Stop
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We Learn, We Innovate, We Never Stop
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<div class="text-gray-600" data-editable="true" id="editable_1754277675890_81">Established</div>
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<div class="text-3xl font-bold text-shanda-blue mb-2" data-editable="true" id="editable_1754277675890_82">40</div>
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<div class="text-gray-600" data-editable="true" id="editable_1754277675890_90">Technology Focus</div>
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<div class="text-center mb-16">
<div class="lang-content active" data-lang="ja">
<h2 class="text-3xl md:text-4xl font-bold text-gray-900 mb-4" data-editable="true" id="editable_1754277675890_91">研究分野</h2>
<p class="text-lg text-gray-600 max-w-3xl mx-auto" data-editable="true" id="editable_1754277675890_92">
ゲーム・エンターテインメント向けAI技術の研究開発に特化し、以下の4つの技術モジュールが私たちの核となる研究方向を構成しています
</p>
</div>
<div class="lang-content" data-lang="en">
<h2 class="text-3xl md:text-4xl font-bold text-gray-900 mb-4" data-editable="true" id="editable_1754277675890_93">Research Areas</h2>
<p class="text-lg text-gray-600 max-w-3xl mx-auto" data-editable="true" id="editable_1754277675890_94">
Focused on AI technology R&D for gaming and entertainment, our four core technology modules form the foundation of our research
</p>
</div>
</div>
<div class="grid md:grid-cols-2 lg:grid-cols-4 gap-8">
<!-- Multimodal Interaction -->
<div class="bg-white rounded-xl shadow-lg p-6 card-hover border border-gray-100" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="w-16 h-16 bg-red-100 rounded-lg flex items-center justify-center mb-4">
<i class="fas fa-comments text-2xl text-shanda-red"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_95">マルチモーダル交流・生成モデル</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_96">
音声、表情、動作の協調統合により、エンドツーエンドの包括的ソリューションを構築し、自然な人間とコンピューターの相互作用を実現
</p>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_97">Multimodal Interaction & Generation Models</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_98">
Coordinated integration of voice, expression, and motion to build end-to-end comprehensive solutions for natural human-computer interaction
</p>
</div>
</div>
<!-- NPC Digital Life -->
<div class="bg-white rounded-xl shadow-lg p-6 card-hover border border-gray-100" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="w-16 h-16 bg-blue-100 rounded-lg flex items-center justify-center mb-4">
<i class="fas fa-robot text-2xl text-shanda-blue"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_99">NPCデジタルライフ</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_100">
独立した人格と学習能力を持つインテリジェントNPCを開発し、言語、表情、動作などの多次元表現を通じて、真のデジタルライフ体験を創造
</p>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_101">NPC Digital Life</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_102">
Developing intelligent NPCs with independent personalities and learning capabilities, creating authentic digital life experiences through multi-dimensional expressions
</p>
</div>
</div>
<!-- Self Evolution -->
<div class="bg-white rounded-xl shadow-lg p-6 card-hover border border-gray-100" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="w-16 h-16 bg-red-100 rounded-lg flex items-center justify-center mb-4">
<i class="fas fa-brain text-2xl text-shanda-red"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_103">自主進化</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_104">
大規模言語モデルの微調整と最適化に基づき、自主学習と進化が可能なAIシステムを構築し、継続的な知能向上を実現
</p>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_105">Autonomous Evolution</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_106">
Building AI systems capable of autonomous learning and evolution through large language model fine-tuning and optimization
</p>
</div>
</div>
<!-- World Model -->
<div class="bg-white rounded-xl shadow-lg p-6 card-hover border border-gray-100" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="w-16 h-16 bg-blue-100 rounded-lg flex items-center justify-center mb-4">
<i class="fas fa-globe text-2xl text-shanda-blue"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_107">世界モデル</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_108">
仮想世界の物理法則と相互作用ロジックを構築し、3D再構築と制御可能なAI生成技術により、没入型ゲーム体験を創造
</p>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900 mb-3" data-editable="true" id="editable_1754277675890_109">World Models</h3>
<p class="text-gray-700 mb-4" data-editable="true" id="editable_1754277675890_110">
Building physical laws and interaction logic for virtual worlds through 3D reconstruction and controllable AI generation technologies
</p>
</div>
</div>
</div>
</div>
</section>
<!-- Careers -->
<section id="careers" class="py-20 bg-white">
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
<div class="text-center mb-16">
<div class="lang-content active" data-lang="ja">
<h2 class="text-3xl md:text-4xl font-bold text-gray-900 mb-4" data-editable="true" id="editable_1754277675890_111">採用情報</h2>
<p class="text-lg text-gray-600 max-w-3xl mx-auto" data-editable="true" id="editable_1754277675890_112">
私たちのチームに参加し、AI技術の発展とイノベーションを共に推進する優秀な人材を求めています
</p>
</div>
<div class="lang-content" data-lang="en">
<h2 class="text-3xl md:text-4xl font-bold text-gray-900 mb-4" data-editable="true" id="editable_1754277675890_113">Career Opportunities</h2>
<p class="text-lg text-gray-600 max-w-3xl mx-auto" data-editable="true" id="editable_1754277675890_114">
We are looking for exceptional talent to join our team and drive innovation in AI technology
</p>
</div>
</div>
<div class="grid lg:grid-cols-2 gap-8">
<!-- Intelligent NPC Research Intern -->
<div class="bg-white rounded-xl shadow-lg p-8 card-hover" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="flex items-center mb-6">
<div class="w-12 h-12 bg-red-100 rounded-lg flex items-center justify-center mr-4">
<i class="fas fa-brain text-shanda-red"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_115">インテリジェントNPC研究インターン</h3>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_116">Intelligent NPC Research Intern</h3>
</div>
</div>
<div class="mb-6">
<div class="lang-content active" data-lang="ja">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_117">研究目標</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_118">
次世代の個性化された行動と学習能力を持つインテリジェントNPCの構築
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_119">研究方向</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_120">
対話型/行動型インテリジェントエージェントにおける強化学習の応用、マルチパーソナリティモデリングと制御メカニズム、RLHF/RLAIF、自己強化と生成データ駆動のマルチステージ訓練フロー、マルチモーダル入力下での行動決定最適化
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_121">必須スキル</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_122">
強化学習、言語モデリング、対話システム研究/開発経験、RLHF/RLAIF/PPO/SFT/マルチパーソナリティ制御/報酬モデリング技術、PyTorch/JAX熟練使用、独立プロジェクト推進能力
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_123">優遇条件</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_124">
生成AI、LLM研究開発経験
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_125">待遇</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_126">
最高50万円の月給<br>充分なGPUリソース<br>一線研究者との協力チャンス、自主研究探索、トップカンファレンス発表チャンス、正社員登用あり
</p>
</div>
<div class="lang-content" data-lang="en">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_127">Research Objectives</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_128">
Building next-generation intelligent NPCs with personalized behaviors and learning capabilities
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_129">Research Directions</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_130">
Application of reinforcement learning in conversational/behavioral intelligent agents, multi-personality modeling and control mechanisms, RLHF/RLAIF, self-reinforcement and generative data-driven multi-stage training flows, behavioral decision optimization under multimodal inputs
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_131">Required Skills</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_132">
Reinforcement learning, language modeling, dialogue system research/development experience, RLHF/RLAIF/PPO/SFT/multi-personality control/reward modeling technologies, proficient use of PyTorch/JAX, independent project management capabilities
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_133">Preferred Qualifications</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_134">
Experience in generative AI and LLM research and development
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_135">Benefits</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_136">
Monthly salary up to 500,000 yen, sufficient GPU resources, collaboration with leading researchers, independent research exploration, top conference publication opportunities, full-time employment opportunities
</p>
</div>
</div>
<div class="border-t pt-4">
<div class="lang-content active" data-lang="ja">
<p class="text-sm text-gray-600" data-editable="true" id="editable_1754277675890_137">
応募方法：お問い合わせフォームより
</p>
</div>
<div class="lang-content" data-lang="en">
<p class="text-sm text-gray-600" data-editable="true" id="editable_1754277675890_138">
Application: Please submit through our Contact Us page
</p>
</div>
</div>
</div>
<!-- Speech Generation & LLM Reasoning Intern -->
<div class="bg-white rounded-xl shadow-lg p-8 card-hover" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="flex items-center mb-6">
<div class="w-12 h-12 bg-blue-100 rounded-lg flex items-center justify-center mr-4">
<i class="fas fa-microphone text-shanda-blue"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_139">音声生成・大規模言語モデル推理インターン</h3>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_140">Speech Generation & LLM Reasoning Intern</h3>
</div>
</div>
<div class="mb-6">
<div class="lang-content active" data-lang="ja">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_141">募集内容</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_142">
音声生成モデルと大規模言語モデル推理方向の優秀な実習生
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_143">研究方向</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_144">
生成式Speech-to-Speechモデル研究と訓練、大規模言語モデル（LLM）Reasoning能力研究と最適化、音声/テキストデータ生成と前処理、SFT（監督微調）とRL（強化学習）によるモデル微調
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_145">応募要件</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_146">
計算機科学/人工智能方向修士または博士在読、大規模言語モデル理論・深層学習・並列訓練フレームワーク（PyTorch、DeepSpeed等）に精通
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_147">加点項目</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_148">
NLP/Speech頂級会議での論文発表経験、大規模モデル訓練/調整実務経験
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_149">待遇・勤務条件</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_150">
月給40万円（経験により変動）<br>ハイブリットワーク可能<br>言語：中国語/英語可、日本語不要
</p>
</div>
<div class="lang-content" data-lang="en">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_151">Position Overview</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_152">
Seeking excellent interns in speech generation models and large language model reasoning
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_153">Research Directions</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_154">
Generative Speech-to-Speech model research and training, large language model (LLM) reasoning capability research and optimization, speech/text data generation and preprocessing, model fine-tuning through SFT (Supervised Fine-Tuning) and RL (Reinforcement Learning)
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_155">Requirements</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_156">
Master's or PhD student in Computer Science/Artificial Intelligence, proficient in large language model theory, deep learning, and parallel training frameworks (PyTorch, DeepSpeed, etc.)
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_157">Preferred Qualifications</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_158">
Experience publishing papers at top NLP/Speech conferences, practical experience in large-scale model training/tuning
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_159">Benefits & Working Conditions</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_160">
Monthly salary 400,000 yen (varies by experience), online/offline work available, office: Tokyo Shibuya (transportation allowance provided), languages: Chinese/English acceptable, Japanese not required
</p>
</div>
</div>
<div class="border-t pt-4">
<div class="lang-content active" data-lang="ja">
<p class="text-sm text-gray-600" data-editable="true" id="editable_1754277675890_161">
応募方法：お問い合わせフォームより
</p>
</div>
<div class="lang-content" data-lang="en">
<p class="text-sm text-gray-600" data-editable="true" id="editable_1754277675890_162">
Application: Please submit through our Contact Us page
</p>
</div>
</div>
</div>
<!-- Foundation Model Researcher -->
<div class="bg-white rounded-xl shadow-lg p-8 card-hover" style="opacity: 1; transform: translateY(0px); transition: opacity 0.6s, transform 0.6s;">
<div class="flex items-center mb-6">
<div class="w-12 h-12 bg-red-100 rounded-lg flex items-center justify-center mr-4">
<i class="fas fa-microscope text-shanda-red"></i>
</div>
<div class="lang-content active" data-lang="ja">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_163">基礎モデル研究員</h3>
</div>
<div class="lang-content" data-lang="en">
<h3 class="text-xl font-bold text-gray-900" data-editable="true" id="editable_1754277675890_164">Foundation Model Researcher</h3>
</div>
</div>
<div class="mb-6">
<div class="lang-content active" data-lang="ja">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_165">主要職責</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_166">
長期記憶、決策モデル、自主Agentを通じたLLM、LMM、次世代AIの革新推進、頂級会議での論文発表・特許取得・オープンソースAIコミュニティへの貢献、AI研究前沿と産業動向の探索
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_167">基本要件</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_168">
ML、DL、NLP、CV、RL等の分野での堅実な理論基礎、Linux環境でのPython、C/C++プログラミング能力、Transformers、マルチモーダルモデル、生成モデル等の技術詳細に精通、優秀な問題分析能力、良好な協力態度とコミュニケーション技術
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_169">加点項目</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_170">
知名高校でのCS、AI関連分野の博士学位、頂級会議/ジャーナルでの論文発表経験、優秀な学科競技成績（ACM/ICPC、NOI/IOI等）、知名大規模モデルオープンソースプロジェクト参加経験
</p>
</div>
<div class="lang-content" data-lang="en">
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_171">Key Responsibilities</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_172">
Drive innovation in LLM, LMM, and next-generation AI through long-term memory, decision models, and autonomous agents; publish papers at top conferences, obtain patents, and contribute to open-source AI communities; explore AI research frontiers and industry trends
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_173">Basic Requirements</h4>
<p class="text-gray-700 text-sm leading-relaxed mb-4" data-editable="true" id="editable_1754277675890_174">
Solid theoretical foundation in ML, DL, NLP, CV, RL and other fields; Python and C/C++ programming skills in Linux environment; proficiency in technical details of Transformers, multimodal models, generative models, etc.; excellent problem analysis skills; good collaboration attitude and communication skills
</p>
<h4 class="font-semibold text-gray-900 mb-2" data-editable="true" id="editable_1754277675890_175">Preferred Qualifications</h4>
<p class="text-gray-700 text-sm leading-relaxed" data-editable="true" id="editable_1754277675890_176">
PhD degree in CS, AI-related fields from prestigious universities; experience publishing papers at top conferences/journals; excellent academic competition results (ACM/ICPC, NOI/IOI, etc.); experience participating in well-known large-scale model open-source projects
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const mobileMenu = document.getElementById('mobile-menu');
mobileMenuBtn.addEventListener('click', () => {
mobileMenu.classList.toggle('open');
});
// Close mobile menu when clicking on links
const mobileMenuLinks = mobileMenu.querySelectorAll('a');
mobileMenuLinks.forEach(link => {
link.addEventListener('click', () => {
mobileMenu.classList.remove('open');
});
});
// Smooth scrolling for navigation links
document.querySelectorAll('a[href^="#"]').forEach(anchor => {
anchor.addEventListener('click', function (e) {
e.preventDefault();
const target = document.querySelector(this.getAttribute('href'));
if (target) {
target.scrollIntoView({
behavior: 'smooth',
block: 'start'
});
}
});
});
// Add scroll effect to navigation
window.addEventListener('scroll', () => {
const nav = document.querySelector('nav');
if (window.scrollY > 100) {
nav.classList.add('shadow-xl');
} else {
nav.classList.remove('shadow-xl');
}
});
// Form submission handler
const contactForms = document.querySelectorAll('form');
contactForms.forEach(form => {
form.addEventListener('submit', (e) => {
e.preventDefault();
const currentLang = document.querySelector('.lang-btn.active').getAttribute('data-lang');
if (currentLang === 'ja') {
alert('お問い合わせありがとうございます！近日中にご連絡いたします。');
} else {
alert('Thank you for your inquiry! We will contact you soon.');
}
});
});
// Intersection Observer for animations
const observerOptions = {
threshold: 0.1,
rootMargin: '0px 0px -50px 0px'
};
const observer = new IntersectionObserver((entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
entry.target.style.opacity = '1';
entry.target.style.transform = 'translateY(0)';
}
});
}, observerOptions);
// Observe cards for animation
document.querySelectorAll('.card-hover').forEach(card => {
card.style.opacity = '0';
card.style.transform = 'translateY(20px)';
card.style.transition = 'opacity 0.6s ease, transform 0.6s ease';
observer.observe(card);
});
</script>
</body></html>
Sitemap
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XML-карта сайта для поисковиков
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Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt не содержит ссылку на карту сайта. Рекомендуется добавить карту сайта и указать ссылку на нее в robots.txt.
Внутренние ссылки
Не найдено
Ссылки на другие страницы своего сайта
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Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
Внутренних ссылок на странице 0 оптимально.
Внешние ссылки
Кол-во: 1
Ссылки на сторонние сайты
?
Исходящие внешние ссылки передают часть ссылочного веса на чужие сайты. Ссылки на авторитетные ресурсы безопасны; ссылки на мусорные сайты могут навредить репутации страницы.
Внешних ссылок на странице 1 оптимально.
Показать внешние ссылки
| Url | Анкор | Анализировать |
|---|---|---|
| cheninstitute.org |
www.cheninstitute.org
|
Анализировать url |
Конкуренты Готовность: 0%
Конкуренты в Яндексе
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Топ сайтов-конкурентов в Яндексе
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Сайты, чаще всего появляющиеся в ТОПе Яндекса по запросам из семантического ядра этой страницы.
Мы не нашли у вас конкурентов в Яндексе. Сайт или очень молодой или плохо продвигается.
Конкурентов в ТОП-10 Яндекса не нашлось.
Конкуренты в Google
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Топ сайтов-конкурентов в Google
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Сайты, чаще всего появляющиеся в ТОПе Google по запросам из семантического ядра этой страницы.
Конкуренты в Google тоже не найдены. Займитесь продвижением сайта!
Конкурентов в ТОП-10 Google не нашлось.
ЗоЗПП: права потребителей Готовность: 100%
Нарушения
Не выявлены
Признаков дистанционной продажи товаров (интернет-магазина) не обнаружено — требования ЗоЗПП о раскрытии информации продавца к сайту не применяются. Нарушений нет.
ФЗ-149: рекомендательные технологии Готовность: 100%
Нарушения
Не выявлены
Рекомендательные блоки («с этим покупают», «похожие товары» и т.п.) на сайте не обнаружены — требования ст. 10.7 ФЗ-149 к сайту не применяются. Нарушений нет.
ФЗ-38: реклама Готовность: 100%
Нарушения
Не выявлены
Рекламных тематик с обязательными оговорками (медицина, БАД, кредиты и займы, новостройки) на сайте не обнаружено. Нарушений нет.
ФЗ-436: защита детей Готовность: 100%
Нарушения
Не выявлены
Признаков информационной продукции (новости, видео, книги, игры, курсы) не обнаружено — обязательная возрастная маркировка по ФЗ-436 сайту не требуется. Нарушений нет.
Вердикт
Оптимизация сайта jp.shanda.com выполнена на 72%, что говорит о высокой готовности к продвижению.
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