微信搜索-LLM增量预训练工程师
Tencent
微信搜索-LLM增量预训练工程师
Job Description
微信搜索-LLM增量预训练工程师
📋 Job Overview
The role involves participating in incremental pre-training research for large models in WeChat search scenarios, focusing on enhancing content understanding, semantic retrieval, and relevance matching in business contexts such as general search, Video Account search, and search recommendations. Responsibilities include improving the capabilities of large model incremental pre-training through aspects like data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement. This position is ideal for engineers passionate about advancing AI applications in search technologies.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.提升大模型增量预训练的能力，包括不限于数据质量、配比，以及合成数据，模型结构调优，以及上下文学习、SFT、搜索增强等技术点。
🎯 Key Responsibilities
- Participate in large model incremental pre-training research within WeChat search scenarios to improve content understanding, semantic retrieval, relevance matching, and other core aspects in business scenarios including general search, Video Account search, and search recommendations.
- Enhance large model incremental pre-training capabilities, including but not limited to data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement.
Locations
- Beijing, China
Salary
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
- Participate in large model incremental pre-training research within WeChat search scenarios to improve content understanding, semantic retrieval, relevance matching, and other core aspects in business scenarios including general search, Video Account search, and search recommendations.
- Enhance large model incremental pre-training capabilities, including but not limited to data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement.
Tags & Categories
Answer 10 quick questions to check your fit for 微信搜索-LLM增量预训练工程师 @ Tencent.
Related Books and Jobs
微信搜索-LLM增量预训练工程师
Tencent
微信搜索-LLM增量预训练工程师
Job Description
微信搜索-LLM增量预训练工程师
📋 Job Overview
The role involves participating in incremental pre-training research for large models in WeChat search scenarios, focusing on enhancing content understanding, semantic retrieval, and relevance matching in business contexts such as general search, Video Account search, and search recommendations. Responsibilities include improving the capabilities of large model incremental pre-training through aspects like data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement. This position is ideal for engineers passionate about advancing AI applications in search technologies.
📍 Location: Beijing, China
🏢 Business Unit: WXG
📄 Full Description
2.提升大模型增量预训练的能力，包括不限于数据质量、配比，以及合成数据，模型结构调优，以及上下文学习、SFT、搜索增强等技术点。
🎯 Key Responsibilities
- Participate in large model incremental pre-training research within WeChat search scenarios to improve content understanding, semantic retrieval, relevance matching, and other core aspects in business scenarios including general search, Video Account search, and search recommendations.
- Enhance large model incremental pre-training capabilities, including but not limited to data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement.
Locations
- Beijing, China
Salary
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
- Participate in large model incremental pre-training research within WeChat search scenarios to improve content understanding, semantic retrieval, relevance matching, and other core aspects in business scenarios including general search, Video Account search, and search recommendations.
- Enhance large model incremental pre-training capabilities, including but not limited to data quality and ratios, synthetic data, model structure optimization, and techniques such as in-context learning, SFT, and search enhancement.
Tags & Categories
Answer 10 quick questions to check your fit for 微信搜索-LLM增量预训练工程师 @ Tencent.
Related Books and Jobs