- Pioneer new research directions in multimodal understanding, post-training, reasoning, grounding, and agent planning, grounded in real gaming scenarios.
- Abstract research problems from game business scenarios, solve them, and land solutions that serve diverse in-game applications.
- Advance the understanding capabilities of multimodal large models (VLMs/MLLMs) across images, video, text, and audio.
- Lead post-training methodologies — SFT, RLHF/RLAIF, reward modeling, and preference alignment — to improve model capability and reliability.
- Design and execute experiments end-to-end: from data and benchmarking, to training, evaluation, and iteration.
- Collaborate with engineers to bring research prototypes into production and deploy them across game scenarios at scale.
- Publish at top-tier conferences and contribute to the broader research community.
- PhD in Computer Science, ML, or a related field, or equivalent research experience.
- Expertise in one or more of: multimodal understanding and vision-language reasoning; pre-/post-training of LLMs/VLMs; reinforcement learning and LLM-based agents; representation learning.
- Ability to abstract research problems from real business (ideally gaming) scenarios and drive them to deployment.
- Consistent first-author publications at leading venues (NeurIPS, ICML, CVPR, ACL, etc.).
- Strong implementation skills in modern ML frameworks (PyTorch, JAX, etc.).
- Proven ability to run complex experiments, analyze results, and iterate quickly.
- Passion for high-impact research with real-world applications.
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 in Computer Science, Machine Learning, or related field, or equivalent research experience
- Expertise in multimodal understanding and vision-language reasoning
- Experience with pre-/post-training of LLMs/VLMs and related methodologies (SFT, RLHF/RLAIF)
- Experience with reinforcement learning and LLM-based agents; reward modeling and preference alignment
- Consistent first-author publications at top venues (NeurIPS, ICML, CVPR, ACL, etc.)
- Strong implementation skills in modern ML frameworks (PyTorch, JAX, etc.)
- Proven ability to run complex experiments, analyze results, and iterate quickly
- Ability to abstract research problems from real business (ideally gaming) scenarios and drive deployment
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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