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Senior Researcher, NLP

Tencent

Software and Technology Jobs

Senior Researcher, NLP

full-timePosted: Oct 28, 2025

Job Description

Senior Researcher, NLP

📋 Job Overview

Tencent's Level Infinite is seeking a Senior Researcher in NLP to advance large language models tailored for the gaming domain. The role involves building and optimizing LLMs to enhance game AI, creation, and interactive experiences, while exploring cutting-edge technologies. This position is based in Palo Alto, California, and contributes to delivering innovative gaming solutions to a global audience.

📍 Location: Palo Alto, California, United States

🏢 Business Unit: IEG

📄 Full Description

About the Hiring Team
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.
We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

What the Role Entails
Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.
Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
1. Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
2. Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
3. Track and explore cutting-edge technologies and real-world applications of large language models.

Who We Look For
1. Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines.
2. Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects. 3. Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies.
4. Experience in large model optimization, distributed training, and debugging is preferred.
5. Experience in text generation, dialogue systems, or game AI is preferred.
6. Publications in top NLP conferences/journals are preferred.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $118,100.00 to $274,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis.
Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year.
Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.

Equal Employment Opportunity at Tencent
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: US-California-Palo Alto

🎯 Key Responsibilities

  • Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
  • Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
  • Track and explore cutting-edge technologies and real-world applications of large language models.

✅ Required Qualifications

  • Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines.
  • Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects.
  • Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies.

⭐ Preferred Qualifications

  • Experience in large model optimization, distributed training, and debugging.
  • Experience in text generation, dialogue systems, or game AI.
  • Publications in top NLP conferences/journals.

🛠️ Required Skills

  • Theoretical foundations of NLP
  • Statistical models and machine learning principles
  • Hands-on NLP experience
  • Knowledge of large language models (e.g., GPT series, DeepSeek, LLaMA series) and training methodologies
  • Large model optimization, distributed training, and debugging (preferred)
  • Text generation, dialogue systems, or game AI (preferred)

🎁 Benefits

  • Medical, dental, vision, life and disability benefits.
  • Participation in the Company’s 401(k) plan.
  • Up to 15 to 25 days of vacation per year (depending on tenure).
  • Up to 13 days of holidays throughout the calendar year.
  • Up to 10 days of paid sick leave per year.
  • Eligibility for sign-on payment, relocation package, and restricted stock units (evaluated case-by-case).

Locations

  • Palo Alto, California, United States

Salary

118,100 - 274,600 USD / yearly

Skills Required

  • Theoretical foundations of NLPintermediate
  • Statistical models and machine learning principlesintermediate
  • Hands-on NLP experienceintermediate
  • Knowledge of large language models (e.g., GPT series, DeepSeek, LLaMA series) and training methodologiesintermediate
  • Large model optimization, distributed training, and debugging (preferred)intermediate
  • Text generation, dialogue systems, or game AI (preferred)intermediate

Required Qualifications

  • Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines. (experience)
  • Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects. (experience)
  • Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies. (experience)

Preferred Qualifications

  • Experience in large model optimization, distributed training, and debugging. (experience)
  • Experience in text generation, dialogue systems, or game AI. (experience)
  • Publications in top NLP conferences/journals. (experience)

Responsibilities

  • Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
  • Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
  • Track and explore cutting-edge technologies and real-world applications of large language models.

Benefits

  • general: Medical, dental, vision, life and disability benefits.
  • general: Participation in the Company’s 401(k) plan.
  • general: Up to 15 to 25 days of vacation per year (depending on tenure).
  • general: Up to 13 days of holidays throughout the calendar year.
  • general: Up to 10 days of paid sick leave per year.
  • general: Eligibility for sign-on payment, relocation package, and restricted stock units (evaluated case-by-case).

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Tencent logo

Senior Researcher, NLP

Tencent

Software and Technology Jobs

Senior Researcher, NLP

full-timePosted: Oct 28, 2025

Job Description

Senior Researcher, NLP

📋 Job Overview

Tencent's Level Infinite is seeking a Senior Researcher in NLP to advance large language models tailored for the gaming domain. The role involves building and optimizing LLMs to enhance game AI, creation, and interactive experiences, while exploring cutting-edge technologies. This position is based in Palo Alto, California, and contributes to delivering innovative gaming solutions to a global audience.

📍 Location: Palo Alto, California, United States

🏢 Business Unit: IEG

📄 Full Description

About the Hiring Team
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.
We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

What the Role Entails
Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.
Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
1. Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
2. Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
3. Track and explore cutting-edge technologies and real-world applications of large language models.

Who We Look For
1. Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines.
2. Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects. 3. Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies.
4. Experience in large model optimization, distributed training, and debugging is preferred.
5. Experience in text generation, dialogue systems, or game AI is preferred.
6. Publications in top NLP conferences/journals are preferred.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $118,100.00 to $274,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis.
Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year.
Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.

Equal Employment Opportunity at Tencent
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: US-California-Palo Alto

🎯 Key Responsibilities

  • Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
  • Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
  • Track and explore cutting-edge technologies and real-world applications of large language models.

✅ Required Qualifications

  • Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines.
  • Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects.
  • Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies.

⭐ Preferred Qualifications

  • Experience in large model optimization, distributed training, and debugging.
  • Experience in text generation, dialogue systems, or game AI.
  • Publications in top NLP conferences/journals.

🛠️ Required Skills

  • Theoretical foundations of NLP
  • Statistical models and machine learning principles
  • Hands-on NLP experience
  • Knowledge of large language models (e.g., GPT series, DeepSeek, LLaMA series) and training methodologies
  • Large model optimization, distributed training, and debugging (preferred)
  • Text generation, dialogue systems, or game AI (preferred)

🎁 Benefits

  • Medical, dental, vision, life and disability benefits.
  • Participation in the Company’s 401(k) plan.
  • Up to 15 to 25 days of vacation per year (depending on tenure).
  • Up to 13 days of holidays throughout the calendar year.
  • Up to 10 days of paid sick leave per year.
  • Eligibility for sign-on payment, relocation package, and restricted stock units (evaluated case-by-case).

Locations

  • Palo Alto, California, United States

Salary

118,100 - 274,600 USD / yearly

Skills Required

  • Theoretical foundations of NLPintermediate
  • Statistical models and machine learning principlesintermediate
  • Hands-on NLP experienceintermediate
  • Knowledge of large language models (e.g., GPT series, DeepSeek, LLaMA series) and training methodologiesintermediate
  • Large model optimization, distributed training, and debugging (preferred)intermediate
  • Text generation, dialogue systems, or game AI (preferred)intermediate

Required Qualifications

  • Over 5 years of research and work experience in the NLP field, with a background in computer science or related disciplines. (experience)
  • Familiar with theoretical foundations of NLP, proficient in statistical models and machine learning principles, with hands-on NLP experience and participation in relevant projects. (experience)
  • Familiar with industry-leading large language models (such as GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies. (experience)

Preferred Qualifications

  • Experience in large model optimization, distributed training, and debugging. (experience)
  • Experience in text generation, dialogue systems, or game AI. (experience)
  • Publications in top NLP conferences/journals. (experience)

Responsibilities

  • Responsible for building LLMs for the gaming domain, including pre-training, instruction fine-tuning and post-training, training and inference acceleration, evaluation, etc., to drive long-term and continuous industry-leading product advantages.
  • Establish and improve the theoretical and engineering systems for large game models, explore the application of large language model technologies in game AI scenarios, and empower all aspects of game creation and interactive experience with smarter model capabilities.
  • Track and explore cutting-edge technologies and real-world applications of large language models.

Benefits

  • general: Medical, dental, vision, life and disability benefits.
  • general: Participation in the Company’s 401(k) plan.
  • general: Up to 15 to 25 days of vacation per year (depending on tenure).
  • general: Up to 13 days of holidays throughout the calendar year.
  • general: Up to 10 days of paid sick leave per year.
  • general: Eligibility for sign-on payment, relocation package, and restricted stock units (evaluated case-by-case).

Target Your Resume for "Senior Researcher, NLP" , Tencent

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Check Your ATS Score for "Senior Researcher, NLP" , Tencent

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

Tags & Categories

TencentPalo AltoUnited StatesIEGIEG

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10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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