Tencent is looking to solve the problem of developing large-scale video world models, including design and construction of training datasets, foundational model algorithm design, optimization, and exploration of downstream application scenarios.
Requirements
- Solid foundation in deep learning algorithms and 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, and distributed training/inference optimization.
- 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.
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.
Other
- Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.
- Participation in ACM/NOIP competitions is highly desirable.
- 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.
