Hunyuan AIGC Algorithm Intern 106597
Tencent
Hunyuan AIGC Algorithm Intern 106597
Job Description
Hunyuan AIGC Algorithm Intern 106597
📋 Job Overview
The Hunyuan AIGC Algorithm Intern role at Tencent's Technology Engineering Group involves researching and developing large-scale video world models, including dataset construction, algorithm design, optimization, evaluation, and downstream applications. Interns will analyze R&D challenges, identify bottlenecks, and develop solutions to accelerate model iteration and ensure competitiveness. The position also entails exploring innovative paradigms and next-generation architectures to advance world model capabilities.
📍 Location: CapitaSky, Singapore
🏢 Business Unit: TEG
📄 Full Description
Business Unit
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
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.
Who We Look For
Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
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.
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.
Participation in ACM/NOIP competitions is highly desirable.
Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
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: Singapore-CapitaSky
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
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.
Who We Look For
Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
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.
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.
Participation in ACM/NOIP competitions is highly desirable.
Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
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: Singapore-CapitaSky
🎯 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
- Equal Employment Opportunity
- Environment where every employee feels supported and inspired to achieve individual and common goals
- Work Location: Singapore-CapitaSky
Locations
- CapitaSky, Singapore
Salary
Estimated Salary Rangemedium confidence
48,000 - 72,000 SGD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
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: Equal Employment Opportunity
- general: Environment where every employee feels supported and inspired to achieve individual and common goals
- general: Work Location: Singapore-CapitaSky
Tags & Categories
Hunyuan AIGC Algorithm Intern 106597
Tencent
Hunyuan AIGC Algorithm Intern 106597
Job Description
Hunyuan AIGC Algorithm Intern 106597
📋 Job Overview
The Hunyuan AIGC Algorithm Intern role at Tencent's Technology Engineering Group involves researching and developing large-scale video world models, including dataset construction, algorithm design, optimization, evaluation, and downstream applications. Interns will analyze R&D challenges, identify bottlenecks, and develop solutions to accelerate model iteration and ensure competitiveness. The position also entails exploring innovative paradigms and next-generation architectures to advance world model capabilities.
📍 Location: CapitaSky, Singapore
🏢 Business Unit: TEG
📄 Full Description
Business Unit
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
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.
Who We Look For
Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
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.
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.
Participation in ACM/NOIP competitions is highly desirable.
Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
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: Singapore-CapitaSky
Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.
What the Role Entails
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.
Who We Look For
Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
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.
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.
Participation in ACM/NOIP competitions is highly desirable.
Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
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: Singapore-CapitaSky
🎯 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
- Equal Employment Opportunity
- Environment where every employee feels supported and inspired to achieve individual and common goals
- Work Location: Singapore-CapitaSky
Locations
- CapitaSky, Singapore
Salary
Estimated Salary Rangemedium confidence
48,000 - 72,000 SGD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
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: Equal Employment Opportunity
- general: Environment where every employee feels supported and inspired to achieve individual and common goals
- general: Work Location: Singapore-CapitaSky
Tags & Categories