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Tencent Holdings · Guangzhou

# 微信搜索-大模型算法工程师-搜索 Planner 方向

Guangzhou 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2091832458562682880)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 微信搜索-大模型算法工程师-搜索 Planner 方向

## Job description

### Responsibilities
- 负责搜索 Planner 的算法设计与研发，基于大模型构建 query 理解与改写系统，覆盖纠错、归一化、意图补全、语义扩展等场景；
- 设计并构建 SFT / RLHF / DPO 训练数据 pipeline，包括数据采集、蒸馏、质量过滤与模板组装，探索数据合成等 AI-Native 数据生产方式；
- 攻关大模型训练与对齐的关键难题，包括输出长度偏差、类别不平衡、训练-推理分布一致性等；
- 设计高效推理链路，包括 constrained decoding、early stopping、多路改写并行召回，结合量化、KV Cache 优化等手段平衡效果与时延；
- 以端到端业务指标为北极星，建立并持续优化评估体系，负责效果调优与 bad case 治理，形成评估、优化、上线、反哺的闭环。 Requirements
- 计算机、人工智能、数学等相关专业，硕士及以上学历，2 年以上大模型 / NLP / 搜索相关经验；
- 深入理解 Transformer 架构与大模型技术栈，包括注意力机制、KV Cache、预训练与后训练（SFT / RLHF / DPO）、量化与推理优化；
- 有大模型训练实操经验，熟悉 LoRA / QLoRA、分布式训练、DeepSpeed 等，能独立完成微调与对齐；
- AI-Native 工作方式，熟练运用 AI 编程工具与自动化 pipeline，能快速搭建数据、训练、评测的自动化链路；
- 精通 Python 与 PyTorch，具备良好的工程落地能力与业务 sense，以端到端效果为导向。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Guangzhou[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2091832458562682880)

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