Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
Tencent
Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
Job Description
Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
š Job Overview
Tencent is seeking an Algorithm Researcher intern for the Hunyuan AIGC team, focusing on the World Model Foundation Direction. The role involves researching and developing large-scale video world models, including dataset construction, algorithm design, optimization, evaluation, and exploring applications. Interns will analyze challenges, innovate solutions, and advance next-generation model architectures to maintain leadership in AI capabilities.
š Location: Palo Alto, California, United States
š¢ Business Unit: TEG
š 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.Bachelorās 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 $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
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
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.Bachelorās 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 $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
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
šÆ 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
ā Required Qualifications
- Bachelorās degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field
ā 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
š ļø 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
š Benefits
- Base pay range of $80,169.00 to $120,000.14 per year
- 1 hour of paid sick leave for every 30 hours worked
- Up to 13 paid holidays throughout the calendar year
- Eligibility to enroll in the Company-sponsored medical plan for full-time interns
Locations
- Palo Alto, California, United States
Salary
80,169 - 120,000.14 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
- Bachelorās 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 $80,169.00 to $120,000.14 per year
- general: 1 hour of paid sick leave for every 30 hours worked
- general: Up to 13 paid holidays throughout the calendar year
- general: Eligibility to enroll in the Company-sponsored medical plan for full-time interns
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Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
Tencent
Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
Job Description
Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508
š Job Overview
Tencent is seeking an Algorithm Researcher intern for the Hunyuan AIGC team, focusing on the World Model Foundation Direction. The role involves researching and developing large-scale video world models, including dataset construction, algorithm design, optimization, evaluation, and exploring applications. Interns will analyze challenges, innovate solutions, and advance next-generation model architectures to maintain leadership in AI capabilities.
š Location: Palo Alto, California, United States
š¢ Business Unit: TEG
š 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.Bachelorās 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 $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
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
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.Bachelorās 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 $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.
This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.
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
šÆ 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
ā Required Qualifications
- Bachelorās degree or higher in Computer Science, Artificial Intelligence, Mathematics, or a related field
ā 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
š ļø 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
š Benefits
- Base pay range of $80,169.00 to $120,000.14 per year
- 1 hour of paid sick leave for every 30 hours worked
- Up to 13 paid holidays throughout the calendar year
- Eligibility to enroll in the Company-sponsored medical plan for full-time interns
Locations
- Palo Alto, California, United States
Salary
80,169 - 120,000.14 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
- Bachelorās 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 $80,169.00 to $120,000.14 per year
- general: 1 hour of paid sick leave for every 30 hours worked
- general: Up to 13 paid holidays throughout the calendar year
- general: Eligibility to enroll in the Company-sponsored medical plan for full-time interns
Tags & Categories
Answer 10 quick questions to check your fit for Hunyuan AIGC Algorithm Researcher intern (World Model Foundation Direction) 106508 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs