RESUME AND JOB
Tencent
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
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.
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Tencent
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
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.
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!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.
Answer 10 quick questions to check your fit for 微信搜索-LLM大模型算法工程师 @ Tencent.

No related jobs found at the moment.

© 2026 Pointers. All rights reserved.