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Open nowPosted 600 days ago

大模型算法工程师-后训练

vrfi1sk8a0/referral187 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大模型算法工程师-后训练vrfi1sk8a0/referral · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. vrfi1sk8a0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 600 days ago

vrfi1sk8a0/referral median: 1 days open

The posting

我们致力于提升大模型的通用能力，让模型更好地理解用户意图、处理复杂信息，并通过推理、工具使用与多轮协作完成真实任务。你将参与通用模型的后训练研发，探索训练方法、能力协同优化与评测反馈机制，持续提升模型的整体表现和实际任务完成质量。根据个人经验与兴趣，你将重点负责以下一个或多个方向： 1. 研发监督微调、强化学习与偏好优化等后训练方法，提升模型的指令遵循、推理、工具使用和复杂任务执行能力。 2. 探索高质量数据构建、奖励设计与反馈机制，推动数据、训练策略和模型能力的持续迭代。 3. 研究多能力协同优化，优化数据配比与训练流程，缓解不同能力之间的冲突、遗忘与回退，提升模型整体表现。

1. 有强烈的技术追求和和热情，真的想要用技术给现实世界带来改变； 2. 具备优秀的研究素养和创新能力，在国际顶会或期刊发表过高质量论文，在模型后训练、强化学习、代码智能或相关方向有研究或实践经验。； 3. 有良好的工程和动手能力，能够广泛利用各种工具解决问题，主导或者参与过有影响力的大规模机器学习项目； 4. 具备良好的研究判断力和探索精神，能够通过严谨实验推动模型能力提升。

【加分项】 1. 有大规模分布式训练相关经验、在理解算法原理的同时，也掌握实现细节； 2. 有ACM/NOI/超算等各类竞赛获奖经历者； 3. 在相关领域有高质量研究成果或开源贡献。

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