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Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Tencent

Software and Technology Jobs

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

full-timePosted: Oct 29, 2025

Job Description

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

📋 Job Overview

Tencent is seeking an AIGC Algorithm Researcher specializing in the World Model Foundation Direction to advance large-scale video world models. The role involves designing training datasets, developing foundational algorithms, optimizing pre-training and reinforcement learning, and exploring downstream applications. The position is based in Palo Alto, California, focusing on innovative R&D to maintain leadership in AI model capabilities.

📍 Location: Palo Alto, California, United States

🏢 Business Unit: TEG

📄 Full Description

Business Unit

What the Role Entails
1.  Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios.
2.  Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership.
3.  Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.

Who We Look For
1.  Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
2.  Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred.
3.  Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus.
4.  Participation in ACM/NOIP competitions is highly desirable.
5.  Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $163,800.00 to $307,600.00 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

  • Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios
  • Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership
  • Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities

✅ Required Qualifications

  • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field

⭐ Preferred Qualifications

  • Experience in Diffusion Models and Autoregressive Models
  • Publications in top-tier conferences
  • Practical experience in text-to-image/text-to-video generation
  • Hands-on experience with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization
  • Participation in ACM/NOIP competitions

🛠️ Required Skills

  • Solid foundation in deep learning algorithms
  • Proven experience in large model R&D
  • Familiarity with implementation details of deep learning networks and operators
  • Model tuning for training/inference
  • CPU/GPU acceleration
  • Distributed training/inference optimization
  • Strong learning skills
  • Strong communication skills
  • Strong teamwork skills
  • Keen sense of curiosity

🎁 Benefits

  • Base pay range of $163,800.00 to $307,600.00 per year
  • Eligibility for sign-on payment
  • Relocation package
  • Restricted stock units
  • 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

Locations

  • Palo Alto, California, United States

Salary

163,800 - 307,600 USD / yearly

Skills Required

  • Solid foundation in deep learning algorithmsintermediate
  • Proven experience in large model R&Dintermediate
  • Familiarity with implementation details of deep learning networks and operatorsintermediate
  • Model tuning for training/inferenceintermediate
  • CPU/GPU accelerationintermediate
  • Distributed training/inference optimizationintermediate
  • Strong learning skillsintermediate
  • Strong communication skillsintermediate
  • Strong teamwork skillsintermediate
  • Keen sense of curiosityintermediate

Required Qualifications

  • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field (experience)

Preferred Qualifications

  • Experience in Diffusion Models and Autoregressive Models (experience)
  • Publications in top-tier conferences (experience)
  • Practical experience in text-to-image/text-to-video generation (experience)
  • Hands-on experience with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization (experience)
  • Participation in ACM/NOIP competitions (experience)

Responsibilities

  • Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios
  • Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership
  • Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities

Benefits

  • general: Base pay range of $163,800.00 to $307,600.00 per year
  • general: Eligibility for sign-on payment
  • general: Relocation package
  • general: Restricted stock units
  • 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

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TencentPalo AltoUnited StatesTEGTEG

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Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Tencent

Software and Technology Jobs

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

full-timePosted: Oct 29, 2025

Job Description

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

📋 Job Overview

Tencent is seeking an AIGC Algorithm Researcher specializing in the World Model Foundation Direction to advance large-scale video world models. The role involves designing training datasets, developing foundational algorithms, optimizing pre-training and reinforcement learning, and exploring downstream applications. The position is based in Palo Alto, California, focusing on innovative R&D to maintain leadership in AI model capabilities.

📍 Location: Palo Alto, California, United States

🏢 Business Unit: TEG

📄 Full Description

Business Unit

What the Role Entails
1.  Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios.
2.  Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership.
3.  Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.

Who We Look For
1.  Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
2.  Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred.
3.  Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus.
4.  Participation in ACM/NOIP competitions is highly desirable.
5.  Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $163,800.00 to $307,600.00 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

  • Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios
  • Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership
  • Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities

✅ Required Qualifications

  • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field

⭐ Preferred Qualifications

  • Experience in Diffusion Models and Autoregressive Models
  • Publications in top-tier conferences
  • Practical experience in text-to-image/text-to-video generation
  • Hands-on experience with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization
  • Participation in ACM/NOIP competitions

🛠️ Required Skills

  • Solid foundation in deep learning algorithms
  • Proven experience in large model R&D
  • Familiarity with implementation details of deep learning networks and operators
  • Model tuning for training/inference
  • CPU/GPU acceleration
  • Distributed training/inference optimization
  • Strong learning skills
  • Strong communication skills
  • Strong teamwork skills
  • Keen sense of curiosity

🎁 Benefits

  • Base pay range of $163,800.00 to $307,600.00 per year
  • Eligibility for sign-on payment
  • Relocation package
  • Restricted stock units
  • 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

Locations

  • Palo Alto, California, United States

Salary

163,800 - 307,600 USD / yearly

Skills Required

  • Solid foundation in deep learning algorithmsintermediate
  • Proven experience in large model R&Dintermediate
  • Familiarity with implementation details of deep learning networks and operatorsintermediate
  • Model tuning for training/inferenceintermediate
  • CPU/GPU accelerationintermediate
  • Distributed training/inference optimizationintermediate
  • Strong learning skillsintermediate
  • Strong communication skillsintermediate
  • Strong teamwork skillsintermediate
  • Keen sense of curiosityintermediate

Required Qualifications

  • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field (experience)

Preferred Qualifications

  • Experience in Diffusion Models and Autoregressive Models (experience)
  • Publications in top-tier conferences (experience)
  • Practical experience in text-to-image/text-to-video generation (experience)
  • Hands-on experience with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization (experience)
  • Participation in ACM/NOIP competitions (experience)

Responsibilities

  • Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios
  • Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership
  • Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities

Benefits

  • general: Base pay range of $163,800.00 to $307,600.00 per year
  • general: Eligibility for sign-on payment
  • general: Relocation package
  • general: Restricted stock units
  • 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

Target Your Resume for "Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)" , Tencent

Get personalized recommendations to optimize your resume specifically for Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction). Takes only 15 seconds!

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

Check Your ATS Score for "Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)" , 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

TencentPalo AltoUnited StatesTEGTEG

Answer 10 quick questions to check your fit for Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction) @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

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