● Develop cutting-edge AI systems for 3D object and scene generation, video generation (world modeling), human motion capture and generation, multimodal vision-language models (VLM), and agentic reinforcement learning systems, tailored for next-generation game development.
● Conduct original research in computer vision, computer graphics, and embodied intelligence, driving innovation in generative AI pipelines for virtual world creation.
● Collaborate with cross-disciplinary teams — including game developers, artists, and designers — to integrate AI-generated content seamlessly into gameplay experiences.
● Continuously explore and apply the latest research trends in 3D generation, video understanding, multimodal reasoning, and simulation-based RL to enhance production efficiency and creativity in games.
● PhD degree in Computer Vision, Computer Graphics, Machine Learning, Robotics, or a related field.
● Strong research background in at least one of the following areas:
– 3D Object or Scene Generation
– Video Generation / World Modeling
– Human Motion Capture or Generation
– Vision-Language Models (VLM)
– Reinforcement Learning / Agentic AI
● Publications in top-tier conferences or journals (CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICML, ICLR, PAMI, IJCV, TOG, TVCG, etc.).
● Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and experience in large-scale model training or evaluation.
● Excellent teamwork and communication skills, with demonstrated ability to collaborate in a fast-paced, research-driven environment.
Preferred Qualifications:
● Hands-on experience with 3D modeling or rendering tools (Blender, Unreal Engine, Unity, etc.).
● Strong coding and prototyping ability in Python, C++, or similar languages.
● Familiarity with datasets and benchmarks related to 3D, motion, or video generation.
● Proven ability to translate research results into real-world interactive applications.
● Creativity and a passion for developing the next generation of AI-driven content creation tools
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
- PhD degree in Computer Vision, Computer Graphics, Machine Learning, Robotics, or a related field
- Strong research background in 3D Object or Scene Generation
- Publications in top-tier conferences or journals
- Proficiency in deep learning frameworks like PyTorch or TensorFlow
- Excellent teamwork and communication skills
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.
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