JD数据
{
"schema_version": "via_ai_product_manager_jobs_v1",
"data_type": "ai_product_manager_jobs",
"job": {
"job_title": "大语言模型评测实习生",
"job_level": "",AI生成
"work_category": "实习",AI生成
"department": "",
"location": "北京市",
"work_mode": "",AI生成
"job_category": "技术类/Technical"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": "职位描述深度参与LLM效果优化,为scaling & alignment提供鲁棒的实验观测指标。跟踪大语言模型前沿进展,引入有价值的benchmark。参与评测平台开发,自动化收集、展示、分析实验结果,为实验提供有效反馈。职位要求细心、良好的沟通和合作能力。具备扎实的Python编程基础,有优秀的工程能力。有大语言模型相关研究、实习经验者优先。有ACM/IOI/NOI/Top Coder等算法竞赛获奖经历优先。",
"requirements_text": "",
"skills": [],AI生成
"preferred_qualifications": "",
"job_highlights": ""
},
"contact": {
"recruiter_name": "",
"contact_methods": []
},
"posting": {
"posting_id": "a08b2bc7-89b8-4840-b6b9-39e22b4de1ec",
"post_date": "2025-02-21",
"hire_time": "",
"update_date": "",
"job_url": "https://app.mokahr.com/campus-recruitment/moonshot/148507#/job/a08b2bc7-89b8-4840-b6b9-39e22b4de1ec"
},
"fulltext": "职位描述深度参与LLM效果优化,为scaling & alignment提供鲁棒的实验观测指标。跟踪大语言模型前沿进展,引入有价值的benchmark。参与评测平台开发,自动化收集、展示、分析实验结果,为实验提供有效反馈。职位要求细心、良好的沟通和合作能力。具备扎实的Python编程基础,有优秀的工程能力。有大语言模型相关研究、实习经验者优先。有ACM/IOI/NOI/Top Coder等算法竞赛获奖经历优先。"
}