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Salary
≈ $72k – $158k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Sep 26, 2024. Tencent scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Tencent is a Chinese technology conglomerate founded in Shenzhen in 1998 and one of the largest internet companies in the world by revenue. Its WeChat super-app combines messaging, social feeds, payments, mini-programs and official accounts into the default digital layer of Chinese daily life, with well over a billion monthly users. The group is also the biggest video game company on the planet through domestic publishing and stakes in Riot, Supercell and Epic Games, and runs Tencent Cloud, Tencent Music, a large fintech business and the Hunyuan family of foundation models.
Backed by ValueAdd VC

岗位职责 / Responsibilities

Responsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis, and named entity recognition.

Responsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction, and other research and development job.

Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.

Explore applications of NLP techniques and deep learning algorithms in games.

Follow the latest developments in academia and industry and quickly apply findings in your work.

Work Location: Singapore-CapitaSpring

岗位要求 / Requirements

Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.

Proficient in at least one programming language, familiar with basic data structures and algorithms.

Experience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.

Familiar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.

Publication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.

Familiar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.

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