The role focuses on researching large-scale video world models, designing datasets, optimizing algorithms, and analyzing R&D challenges to enhance model capabilities.
Business UnitTechnology 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.
- 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.
- 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.
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.
Top Skills
Autoregressive Models
Cpu/Gpu Acceleration
Deep Learning
Diffusion Models
Distributed Training/Inference Optimization
Large Model R&D
Similar Jobs
Gaming • Software • Metaverse
The intern will conduct R&D on large-scale video models, focusing on dataset creation, algorithm design, performance optimization, and exploring implementation paradigms.
Top Skills:
Autoregressive ModelsCpuDeep LearningDiffusion ModelsDistributed TrainingGpuLarge ModelsModel Tuning
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Technical Solution Architect at ServiceNow, you will guide customers in maximizing their CRM solutions, drive best practices, and lead complex integrations across industry applications, while ensuring customer success and satisfaction.
Top Skills:
AIMiroPowerPointSalesforceServicenowWord
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Solution Sales Executive drives market success for Moveworks AI products by planning strategy, coaching teams, and supporting digital transformation efforts.
Top Skills:
AIService Management Platform
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

