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微信搜索-LLM大模型算法工程师

Tencent

Software and Technology Jobs

微信搜索-LLM大模型算法工程师

full-timePosted: Dec 4, 2025

Job Description

微信搜索-LLM大模型算法工程师

📋 Job Overview

The role focuses on applying large language models (LLMs) to WeChat Search, driving the implementation of AI-generated Q&A, complex semantic and multimodal retrieval, and multi-scenario query recommendations. It involves exploring and developing efficient LLM algorithms tailored to search scenarios, covering aspects like training data, model design, and training techniques. Key directions include Post Pretraining, Supervised Fine-Tuning (SFT), Reward Modeling/Reinforcement Learning (RM/RL), and Retrieval-Augmented Generation (RAG).

📍 Location: Beijing, China

🏢 Business Unit: WXG

📄 Full Description

1.大模型在微信搜索的应用落地研究,推进AI生成式问答、复杂语义和多模态检索、多场景查询推荐等业务场景的应用落地;
2.结合大模型技术前沿和搜索场景需求,从训练数据、模型设计、训练工艺等角度深入探索研发高效的大模型算法,包括Post Pretrain、SFT、RM/RL、RAG等方向。

🎯 Key Responsibilities

  • Research and implement applications of large models in WeChat Search, promoting AI-generated Q&A, complex semantic and multimodal retrieval, multi-scenario query recommendations, and other business scenarios.
  • Combine cutting-edge large model technologies with search scenario needs to deeply explore and develop efficient large model algorithms from perspectives such as training data, model design, and training processes, including directions like Post Pretraining, SFT, RM/RL, RAG.

Locations

  • Beijing, China

Salary

Estimated Salary Rangemedium confidence

300,000 - 800,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • Research and implement applications of large models in WeChat Search, promoting AI-generated Q&A, complex semantic and multimodal retrieval, multi-scenario query recommendations, and other business scenarios.
  • Combine cutting-edge large model technologies with search scenario needs to deeply explore and develop efficient large model algorithms from perspectives such as training data, model design, and training processes, including directions like Post Pretraining, SFT, RM/RL, RAG.

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Tencent logo

微信搜索-LLM大模型算法工程师

Tencent

Software and Technology Jobs

微信搜索-LLM大模型算法工程师

full-timePosted: Dec 4, 2025

Job Description

微信搜索-LLM大模型算法工程师

📋 Job Overview

The role focuses on applying large language models (LLMs) to WeChat Search, driving the implementation of AI-generated Q&A, complex semantic and multimodal retrieval, and multi-scenario query recommendations. It involves exploring and developing efficient LLM algorithms tailored to search scenarios, covering aspects like training data, model design, and training techniques. Key directions include Post Pretraining, Supervised Fine-Tuning (SFT), Reward Modeling/Reinforcement Learning (RM/RL), and Retrieval-Augmented Generation (RAG).

📍 Location: Beijing, China

🏢 Business Unit: WXG

📄 Full Description

1.大模型在微信搜索的应用落地研究,推进AI生成式问答、复杂语义和多模态检索、多场景查询推荐等业务场景的应用落地;
2.结合大模型技术前沿和搜索场景需求,从训练数据、模型设计、训练工艺等角度深入探索研发高效的大模型算法,包括Post Pretrain、SFT、RM/RL、RAG等方向。

🎯 Key Responsibilities

  • Research and implement applications of large models in WeChat Search, promoting AI-generated Q&A, complex semantic and multimodal retrieval, multi-scenario query recommendations, and other business scenarios.
  • Combine cutting-edge large model technologies with search scenario needs to deeply explore and develop efficient large model algorithms from perspectives such as training data, model design, and training processes, including directions like Post Pretraining, SFT, RM/RL, RAG.

Locations

  • Beijing, China

Salary

Estimated Salary Rangemedium confidence

300,000 - 800,000 CNY / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Responsibilities

  • Research and implement applications of large models in WeChat Search, promoting AI-generated Q&A, complex semantic and multimodal retrieval, multi-scenario query recommendations, and other business scenarios.
  • Combine cutting-edge large model technologies with search scenario needs to deeply explore and develop efficient large model algorithms from perspectives such as training data, model design, and training processes, including directions like Post Pretraining, SFT, RM/RL, RAG.

Target Your Resume for "微信搜索-LLM大模型算法工程师" , Tencent

Get personalized recommendations to optimize your resume specifically for 微信搜索-LLM大模型算法工程师. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "微信搜索-LLM大模型算法工程师" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentBeijingChinaWXGWXG

Answer 10 quick questions to check your fit for 微信搜索-LLM大模型算法工程师 @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.