We are looking for research interns to work on foundational areas for coding language models, including pre-training data, mid-training data, synthetic data generation, evaluation, and agentic coding.
Responsibilities
* Explore data-centric methods for improving coding LLMs, including data filtering, quality assessment, deduplication, data mixture, and diversity analysis.
* Build synthetic data and evaluation pipelines for code generation, code editing, repo-level reasoning, tool use, and multi-step coding tasks.
* Run experiments to analyze how data, model, and training strategies affect coding capabilities.
* Work with large-scale code corpora, developer activity data, and agentic coding trajectories.
* Strong programming skills in Python.
* Solid understanding of machine learning and large language models.
* Familiarity with LLM pre-training, mid-training, code models, data curation, evaluation, agents, or tool use.
* Strong experiment design, data analysis, and problem-solving skills.
* Interest in code intelligence, software engineering automation, and agentic coding.
Preferred Qualifications
* Experience with code data processing, GitHub-scale data, synthetic data, LLM evaluation, semantic deduplication, or agentic coding.
* Research experience, publications, or open-source projects in related areas are a plus.
What We Offer
* Access to large-scale real-world coding data and agentic trajectories.
* Rich compute resources and model APIs for fast research iteration.
* Opportunities to work on real-world coding model applications and the full model development loop.
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
- Strong programming skills in Python.
- Solid understanding of machine learning and large language models.
- Familiarity with LLM pre-training, mid-training, code models, data curation, evaluation, agents, or tool use.
- Strong experiment design, data analysis, and problem-solving skills.
- Interest in code intelligence, software engineering automation, and agentic coding.
- Experience with code data processing, GitHub-scale data, synthetic data, LLM evaluation, semantic deduplication, or agentic coding.
- Research experience, publications, or open-source projects in related areas.
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.






