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Kuaishou Technology · Chengdu

# 模型运营专员

Chengdu 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/27882)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 模型运营专员

## Job description

### 模型效果运营
- 常态化跟踪文本、图像、多模态等 AI 模型的准确率、召回率等核心指标，建立健康度监控体系，并主动定位模型漏召、误判等效果劣化问题，驱动优化闭环，保障线上业务效果持续达标；

### 训练数据运营
- 主导训练集、验证集、测试集的全生命周期运营，持续分析样本分布、数据噪声、类别不均衡等问题，并通过数据增强、难样本富集、负样本挖掘等手段，从数据侧系统性支撑模型准召率提升；

### 模型迭代全流程跟进管理
- 跟进模型微调、参数调优、prompt 优化及训练策略升级全流程，对比不同版本模型 Precision / Recall / F1 等关键指标，输出可追溯的迭代复盘报告，把控每轮迭代质量；

### 跨团队协同推动业务效果落地
- 深度对接业务、内容审核、产品等团队，理解真实场景痛点，基于业务优先级制定模型优化节奏，推进模型灰度验证与全量上线，确保优化效果切实转化为业务价值。 必备能力
- 本科及以上学历，计算机、人工智能、软件工程、数学、统计等相关专业，熟悉深度学习、机器学习基础理论；
- 精通模型准召率优化逻辑，深刻理解准确率、召回率、F1值、混淆矩阵等核心指标，具备独立通过数据、模型、策略三维度提升准召的实战经验；
- 熟练使用PyTorch/TensorFlow任意一种框架，熟悉模型微调、蒸馏、正则化、超参调优等训练优化手段；
- 熟练掌握数据分析、样本筛选、坏例挖掘方法，能够精准定位模型性能瓶颈并落地优化；

### 熟悉AI模型训练全流程
- 数据处理、模型训练、验证评测、版本管理、效果复盘。 优先加分项
- 有内容安全、NLP文本分类、CV图像识别、多模态模型优化经验者优先；
- 有大模型微调、小模型落地迭代、样本不均衡场景准召优化经验者优先；
- 具备结构化复盘能力，能够沉淀可复用的模型优化方法论；
- 熟悉模型线上监控、灰度测试、效果评估体系者优先。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Chengdu[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/27882)

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