Hunyuan AIGC Algorithm Intern

This internship involves research and development of large-scale video world models, focusing on dataset design, foundational model algorithm design, optimization (pre-training, SFT, RL), and capability evaluation. The role requires analyzing R&D challenges, identifying bottlenecks, and exploring next-generation model architectures. Candidates should have a Bachelor's degree or higher in Computer Science or related fields, a solid foundation in deep learning, and experience in large model R&D, particularly with Diffusion and Autoregressive Models.

Must Have

• Engage in research and development of large-scale video world models
• Design and construct training datasets
• Design foundational model algorithms
• Optimize pre-training, SFT, and RL
• Evaluate model capabilities
• Analyze R&D challenges and identify performance bottlenecks
• Develop solutions based on first principles
• Bachelor’s degree or higher in Computer Science, AI, Mathematics, or related field
• Solid foundation in deep learning algorithms
• Proven experience in large model R&D
• Strong learning, communication, and teamwork skills
• Keen sense of curiosity

Good to Have

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

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.