- Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
- Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
- Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
- Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
- Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
- Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
- Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
- Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
- Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
- Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
- Good knowledge of Python; familiarity with C/C++ is a plus
- Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
- Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
- Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
- Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
- Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
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
- Bachelor's degree in Computer Science, AI, Mathematics, Statistics, Data Science, or similar field
- Hands-on experience with LLM application development
- Experience with computer vision models
- Good knowledge of Python
- Familiarity with deep learning frameworks
- Experience with vector databases or data pipeline tools
- Ability to communicate complex ideas to non-technical stakeholders
- Fluency in English and Mandarin
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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