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ゲームAIリサーチインターン|Game AI Research Intern 106377

Tencent

Software and Technology Jobs

ゲームAIリサーチインターン|Game AI Research Intern 106377

internshipPosted: Nov 2, 2025

Job Description

ゲームAIリサーチインターン|Game AI Research Intern 106377

📋 Job Overview

This Game AI Research Intern position at Lightspeed Studios' Tech Center involves developing and implementing reinforcement learning (RL) algorithms for game applications. Interns will train RL models on innovative tasks and collaborate with the team to achieve research goals in advanced game technologies. The role supports cutting-edge R&D for high-quality games like PUBG Mobile, focusing on AI innovations.

📍 Location: Business Tower, Tokyo, Japan

🏢 Business Unit: IEG

📄 Full Description

部署紹介/Business Unit
LIGHTSPEED STUDIOS は、物語性の高いストーリー、没入感のあるゲームプレイ、最先端のテクノロジーを駆使し、ゲーム開発をアートとサイエンスの融合として追求し続けています。世界中のプレイヤー、そしてあらゆるデバイスに次世代のゲームエクスペリエンスを提供することを使命としています。
LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.

チーム紹介/About the Hiring Team
Lightspeed Tech Center は、PUBG モバイルを始めとする様々な高品質ゲームを手掛けた Lightspeed Studios の研究開発部門です。Tech Center は技術研究とイノベーションを牽引し、ゲーム作品にそのライフサイクルを通して、エンジン、音響、QA、AI、次世代技術、技術提携などのテクニカルサポートを提供しています。
Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.

仕事内容/What the Role Entails
 仕事内容:
1.  ゲーム分野における強化学習(RL)アルゴリズムの実装・開発を行う。
2.  研究環境や実務環境におけるタスクに対して、RLモデルの訓練を行う。
3.  研究目標の達成に向けて、チームメンバーと積極的に協力する。
Job Responsibilities:
1.  Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
2.  Train RL models on innovative and practical tasks.
3.  Collaborate proactively with team members to achieve research goals.

応募資格/Who We Look For
応募条件:
1.  PythonおよびPyTorchなどの主要フレームワークを用いたRLアルゴリズムの実装経験。
2.  強化学習モデルのチューニングや最適化する経験。
3.  英語に堪能であること(必須)。
4.  歓迎:協調型マルチエージェント強化学習、アドホックチームワーク、または人間とAIの協力に関する専門知識または経験。
5.  歓迎:NeurIPS、ICML、ICLRなどトップカンファレンスでの論文発表経験。
6.  歓迎:中国語または日本語のバイリンガル能力。

Requirements:
1.  Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch.
2.  Must be able to tune and optimize reinforcement learning models.
3.  Must be proficient in English.
4.  Preferred: Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies.
5.  Preferred: Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR).
6.  Preferred: Bilingual proficiency in Chinese or Japanese.

一緒に働く魅力/Why Join Us?
賃金
年収額:応相談(昇給/賞与あり)
※経験・スキル等を考慮し、当社規定により優遇します。
※一般社員の場合、固定残業代月35時間分が含まれます。
管理職の場合、固定残業代10時間分が含まれます。
労働時間・休日
就業時間 09:30 ~ 18:30  休憩時間 60分
フレックスタイムあり
完全週休2日制(土日・祝日)
有給休暇:入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日
年末年始休暇(12/30~1/3)
病気休暇(有給):12日/年(有給休暇とは別途付与)
福利厚生
<各種保険>
健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険(GTL)
業務災害安心総合保険(GPA)、団体長期障害所得補償保険(GLTD)
海外旅行保険
<各種手当>
通勤手当(上限5万円/月) 、通信手当(上限1万円/月)、 自己啓発手当(上限2万円/月)、 平日に出社した場合食事補助1800円/日、 定期健診手当(上限7万5千円/年1回)
<支援制度・その他待遇>
フリードリンクコーナー 、ギフトカード(お盆、正月の2回支給、2万円/1回)
従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇
この求人広告に記載されているポリシー(給与、福利厚生、労働条件などを含むがこれに限らない)は、会社のリアルタイムポリシーに応じて調整される可能性があります。

平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent
テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。
社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Japan-Tokyo-Business Tower

🎯 Key Responsibilities

  • Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
  • Train RL models on innovative and practical tasks.
  • Collaborate proactively with team members to achieve research goals.

✅ Required Qualifications

  • Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch.
  • Must be able to tune and optimize reinforcement learning models.
  • Must be proficient in English.

⭐ Preferred Qualifications

  • Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies.
  • Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR).
  • Bilingual proficiency in Chinese or Japanese.

🛠️ Required Skills

  • Python programming
  • PyTorch or similar frameworks
  • Reinforcement learning algorithm implementation
  • RL model tuning and optimization
  • English proficiency
  • Team collaboration

🎁 Benefits

  • Competitive salary based on experience, with raises and bonuses.
  • Flexible working hours (09:30 ~ 18:30 with 60-minute break).
  • Complete weekly holidays (Saturdays, Sundays, and public holidays).
  • Paid leave up to 22 days, prorated in first year; year-end and New Year holidays (Dec 30 ~ Jan 3); separate sick leave (12 days/year).
  • Comprehensive insurance: health, employment, workers' compensation, pension, group term life, business accident, group long-term disability, and overseas travel insurance.
  • Various allowances: commuting (up to 50,000 yen/month), communication (up to 10,000 yen/month), self-development (up to 20,000 yen/month), meal subsidy (1,800 yen/day for weekday office attendance), and annual health check (up to 75,000 yen).
  • Additional perks: free drink corner, gift cards (20,000 yen twice a year), employee assistance program (EAP), condolence payments, long-service awards and leave.

Locations

  • Business Tower, Tokyo, Japan

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 JPY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programmingintermediate
  • PyTorch or similar frameworksintermediate
  • Reinforcement learning algorithm implementationintermediate
  • RL model tuning and optimizationintermediate
  • English proficiencyintermediate
  • Team collaborationintermediate

Required Qualifications

  • Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch. (experience)
  • Must be able to tune and optimize reinforcement learning models. (experience)
  • Must be proficient in English. (experience)

Preferred Qualifications

  • Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies. (experience)
  • Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR). (experience)
  • Bilingual proficiency in Chinese or Japanese. (experience)

Responsibilities

  • Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
  • Train RL models on innovative and practical tasks.
  • Collaborate proactively with team members to achieve research goals.

Benefits

  • general: Competitive salary based on experience, with raises and bonuses.
  • general: Flexible working hours (09:30 ~ 18:30 with 60-minute break).
  • general: Complete weekly holidays (Saturdays, Sundays, and public holidays).
  • general: Paid leave up to 22 days, prorated in first year; year-end and New Year holidays (Dec 30 ~ Jan 3); separate sick leave (12 days/year).
  • general: Comprehensive insurance: health, employment, workers' compensation, pension, group term life, business accident, group long-term disability, and overseas travel insurance.
  • general: Various allowances: commuting (up to 50,000 yen/month), communication (up to 10,000 yen/month), self-development (up to 20,000 yen/month), meal subsidy (1,800 yen/day for weekday office attendance), and annual health check (up to 75,000 yen).
  • general: Additional perks: free drink corner, gift cards (20,000 yen twice a year), employee assistance program (EAP), condolence payments, long-service awards and leave.

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ゲームAIリサーチインターン|Game AI Research Intern 106377

Tencent

Software and Technology Jobs

ゲームAIリサーチインターン|Game AI Research Intern 106377

internshipPosted: Nov 2, 2025

Job Description

ゲームAIリサーチインターン|Game AI Research Intern 106377

📋 Job Overview

This Game AI Research Intern position at Lightspeed Studios' Tech Center involves developing and implementing reinforcement learning (RL) algorithms for game applications. Interns will train RL models on innovative tasks and collaborate with the team to achieve research goals in advanced game technologies. The role supports cutting-edge R&D for high-quality games like PUBG Mobile, focusing on AI innovations.

📍 Location: Business Tower, Tokyo, Japan

🏢 Business Unit: IEG

📄 Full Description

部署紹介/Business Unit
LIGHTSPEED STUDIOS は、物語性の高いストーリー、没入感のあるゲームプレイ、最先端のテクノロジーを駆使し、ゲーム開発をアートとサイエンスの融合として追求し続けています。世界中のプレイヤー、そしてあらゆるデバイスに次世代のゲームエクスペリエンスを提供することを使命としています。
LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.

チーム紹介/About the Hiring Team
Lightspeed Tech Center は、PUBG モバイルを始めとする様々な高品質ゲームを手掛けた Lightspeed Studios の研究開発部門です。Tech Center は技術研究とイノベーションを牽引し、ゲーム作品にそのライフサイクルを通して、エンジン、音響、QA、AI、次世代技術、技術提携などのテクニカルサポートを提供しています。
Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.

仕事内容/What the Role Entails
 仕事内容:
1.  ゲーム分野における強化学習(RL)アルゴリズムの実装・開発を行う。
2.  研究環境や実務環境におけるタスクに対して、RLモデルの訓練を行う。
3.  研究目標の達成に向けて、チームメンバーと積極的に協力する。
Job Responsibilities:
1.  Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
2.  Train RL models on innovative and practical tasks.
3.  Collaborate proactively with team members to achieve research goals.

応募資格/Who We Look For
応募条件:
1.  PythonおよびPyTorchなどの主要フレームワークを用いたRLアルゴリズムの実装経験。
2.  強化学習モデルのチューニングや最適化する経験。
3.  英語に堪能であること(必須)。
4.  歓迎:協調型マルチエージェント強化学習、アドホックチームワーク、または人間とAIの協力に関する専門知識または経験。
5.  歓迎:NeurIPS、ICML、ICLRなどトップカンファレンスでの論文発表経験。
6.  歓迎:中国語または日本語のバイリンガル能力。

Requirements:
1.  Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch.
2.  Must be able to tune and optimize reinforcement learning models.
3.  Must be proficient in English.
4.  Preferred: Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies.
5.  Preferred: Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR).
6.  Preferred: Bilingual proficiency in Chinese or Japanese.

一緒に働く魅力/Why Join Us?
賃金
年収額:応相談(昇給/賞与あり)
※経験・スキル等を考慮し、当社規定により優遇します。
※一般社員の場合、固定残業代月35時間分が含まれます。
管理職の場合、固定残業代10時間分が含まれます。
労働時間・休日
就業時間 09:30 ~ 18:30  休憩時間 60分
フレックスタイムあり
完全週休2日制(土日・祝日)
有給休暇:入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日
年末年始休暇(12/30~1/3)
病気休暇(有給):12日/年(有給休暇とは別途付与)
福利厚生
<各種保険>
健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険(GTL)
業務災害安心総合保険(GPA)、団体長期障害所得補償保険(GLTD)
海外旅行保険
<各種手当>
通勤手当(上限5万円/月) 、通信手当(上限1万円/月)、 自己啓発手当(上限2万円/月)、 平日に出社した場合食事補助1800円/日、 定期健診手当(上限7万5千円/年1回)
<支援制度・その他待遇>
フリードリンクコーナー 、ギフトカード(お盆、正月の2回支給、2万円/1回)
従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇
この求人広告に記載されているポリシー(給与、福利厚生、労働条件などを含むがこれに限らない)は、会社のリアルタイムポリシーに応じて調整される可能性があります。

平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent
テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。
社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Work Location: Japan-Tokyo-Business Tower

🎯 Key Responsibilities

  • Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
  • Train RL models on innovative and practical tasks.
  • Collaborate proactively with team members to achieve research goals.

✅ Required Qualifications

  • Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch.
  • Must be able to tune and optimize reinforcement learning models.
  • Must be proficient in English.

⭐ Preferred Qualifications

  • Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies.
  • Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR).
  • Bilingual proficiency in Chinese or Japanese.

🛠️ Required Skills

  • Python programming
  • PyTorch or similar frameworks
  • Reinforcement learning algorithm implementation
  • RL model tuning and optimization
  • English proficiency
  • Team collaboration

🎁 Benefits

  • Competitive salary based on experience, with raises and bonuses.
  • Flexible working hours (09:30 ~ 18:30 with 60-minute break).
  • Complete weekly holidays (Saturdays, Sundays, and public holidays).
  • Paid leave up to 22 days, prorated in first year; year-end and New Year holidays (Dec 30 ~ Jan 3); separate sick leave (12 days/year).
  • Comprehensive insurance: health, employment, workers' compensation, pension, group term life, business accident, group long-term disability, and overseas travel insurance.
  • Various allowances: commuting (up to 50,000 yen/month), communication (up to 10,000 yen/month), self-development (up to 20,000 yen/month), meal subsidy (1,800 yen/day for weekday office attendance), and annual health check (up to 75,000 yen).
  • Additional perks: free drink corner, gift cards (20,000 yen twice a year), employee assistance program (EAP), condolence payments, long-service awards and leave.

Locations

  • Business Tower, Tokyo, Japan

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 JPY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programmingintermediate
  • PyTorch or similar frameworksintermediate
  • Reinforcement learning algorithm implementationintermediate
  • RL model tuning and optimizationintermediate
  • English proficiencyintermediate
  • Team collaborationintermediate

Required Qualifications

  • Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch. (experience)
  • Must be able to tune and optimize reinforcement learning models. (experience)
  • Must be proficient in English. (experience)

Preferred Qualifications

  • Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies. (experience)
  • Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR). (experience)
  • Bilingual proficiency in Chinese or Japanese. (experience)

Responsibilities

  • Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts.
  • Train RL models on innovative and practical tasks.
  • Collaborate proactively with team members to achieve research goals.

Benefits

  • general: Competitive salary based on experience, with raises and bonuses.
  • general: Flexible working hours (09:30 ~ 18:30 with 60-minute break).
  • general: Complete weekly holidays (Saturdays, Sundays, and public holidays).
  • general: Paid leave up to 22 days, prorated in first year; year-end and New Year holidays (Dec 30 ~ Jan 3); separate sick leave (12 days/year).
  • general: Comprehensive insurance: health, employment, workers' compensation, pension, group term life, business accident, group long-term disability, and overseas travel insurance.
  • general: Various allowances: commuting (up to 50,000 yen/month), communication (up to 10,000 yen/month), self-development (up to 20,000 yen/month), meal subsidy (1,800 yen/day for weekday office attendance), and annual health check (up to 75,000 yen).
  • general: Additional perks: free drink corner, gift cards (20,000 yen twice a year), employee assistance program (EAP), condolence payments, long-service awards and leave.

Target Your Resume for "ゲームAIリサーチインターン|Game AI Research Intern 106377" , Tencent

Get personalized recommendations to optimize your resume specifically for ゲームAIリサーチインターン|Game AI Research Intern 106377. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "ゲームAIリサーチインターン|Game AI Research Intern 106377" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentBusiness TowerJapanIEGIEG

Answer 10 quick questions to check your fit for ゲームAIリサーチインターン|Game AI Research Intern 106377 @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.