JD数据
{
"schema_version": "via_ai_product_manager_jobs_v1",
"data_type": "ai_product_manager_jobs",
"job": {
"job_title": "大模型后训练算法实习生(RL & Agent方向)",
"job_level": "",AI生成
"work_category": "实习",AI生成
"department": "",
"location": "北京市",
"work_mode": "",AI生成
"job_category": "算法类/AI"AI生成
},
"company": {
"company_name": "月之暗面",
"company_industry": "",
"company_size": "",
"company_website": "",
"company_description": ""
},
"compensation": {
"salary_range": {
"min": "",
"max": "",
"currency": "",
"cycle": ""
},
"benefits": ""
},
"requirements": {
"working_years": "",
"degree": "",
"language": "",AI生成
"visa_support": "",
"responsibilities": "做什么(说点实际的!):挖数据:自动化找模型 worse cases,定位问题,提升模型能力调偏好:用RLHF做preference优化,提升模型对齐效果搞基建:搭后训练数据 pipeline,建质量评估工具提泛化:设计数据增强策略,针对性补模型短板希望你:相关专业背景,聪明且努力,持续迭代自己和模型,有技术追求工程扎实(Python/数据处理),特别欢迎代码洁癖和竞赛选手逻辑清晰,能从数据里挖问题,善于思考能上手、肯折腾,主动push结果,欢迎实干派加入!加分:做过相关项目or实习;搞过开源;强烈的motivation想搞点出色的工作**非纯研究型岗位**",
"requirements_text": "",
"skills": [],AI生成
"preferred_qualifications": "",
"job_highlights": ""
},
"contact": {
"recruiter_name": "",
"contact_methods": []
},
"posting": {
"posting_id": "bab0b490-4bbf-4c14-929a-f87e5767df3f",
"post_date": "2025-12-23",
"hire_time": "",
"update_date": "",
"job_url": "https://app.mokahr.com/campus-recruitment/moonshot/148507#/job/bab0b490-4bbf-4c14-929a-f87e5767df3f"
},
"fulltext": "做什么(说点实际的!):挖数据:自动化找模型 worse cases,定位问题,提升模型能力调偏好:用RLHF做preference优化,提升模型对齐效果搞基建:搭后训练数据 pipeline,建质量评估工具提泛化:设计数据增强策略,针对性补模型短板希望你:相关专业背景,聪明且努力,持续迭代自己和模型,有技术追求工程扎实(Python/数据处理),特别欢迎代码洁癖和竞赛选手逻辑清晰,能从数据里挖问题,善于思考能上手、肯折腾,主动push结果,欢迎实干派加入!加分:做过相关项目or实习;搞过开源;强烈的motivation想搞点出色的工作**非纯研究型岗位**"
}