1. Assist in researching the model's ability to understand generated content, including parsing semantics, objects, relationships, and spatial structures.
2. Help implement state tracking and evaluate consistency modeling for generated videos.
3. Participate in exploring "unified generation-understanding" model architectures.
Assist in evaluating causal consistency control and physical constraints for "action input → video output" pipelines.
4. Contribute to researching hybrid architectures aimed at achieving low-latency feedback for real-time interactive generation.
5. Work with the team to test and refine the end-to-end closed loop of "generation → understanding → control → feedback."
6. Assist in validating interactive capabilities in simulated/game scenarios and help build evaluation metrics.
7. Track the latest industry academic papers and open-source projects related to video understanding and generation.
1. Currently pursuing a Ph.D. or Master's degree in AI-related fields (video understanding, video prediction, reinforcement learning, or multimodal generation).
2. Good understanding of the internal mechanisms of video generation/VLM models and diffusion model principles.
3. Academic or project experience in interactive video generation, controllable generation, or multimodal understanding.
4. Solid coding and engineering skills; able to assist in building and debugging model training pipelines.
5. Proficient in Python/PyTorch; publications in related fields are a strong plus.
6. Familiarity with Game AI, simulation environments, or reinforcement learning frameworks is preferred.
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.
Skills Required
- Pursuing a Master’s or Ph.D. in AI-related fields (video understanding, video prediction, RL, multimodal generation)
- Good understanding of internal mechanisms of video generation/VLM models and diffusion model principles
- Academic or project experience in interactive video generation, controllable generation, or multimodal understanding
- Solid coding and engineering skills; able to build and debug model training pipelines
- Proficient in Python and PyTorch
- Publications in related fields
- Familiarity with Game AI, simulation environments, or reinforcement learning frameworks
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
Tencent Insights
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
