ByteDance
Posted 7mo ago

大模型算法实习生(医疗方向)-小荷健康

ByteDance
Beijing, Beijing, China
OnsiteIntern
Responsibilities
  • training models
  • deploying models
  • improving performance
Requirements
  • Enrollment in a 2027 bachelor's or higher program in CS-related field
  • Strong coding in C/C++ or Python
  • Solid algorithms and data structures
  • Experience with CV, NLP
  • Large-model training and RL preferred
Technical tools mentioned
CC++PythonViT

Job description

ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。
团队介绍:小荷健康团队专注于小荷AI医生业务和抖音/头条医疗搜索业务的相关工程和策略研发,以及小荷健康医疗大模型的研发。我们依托医疗大模型基座的能力,为不同渠道用户提供健康咨询和医疗服务建议能力,助力分级诊疗落地,缓解医患矛盾,缓解优质医疗资源不足且分布不均的问题,并以“为每个中国人/家庭提供一个私人AI医生”为愿景。团队涵盖了前端、客户端、服务端、算法、数据等多个团队。在工程领域我们除了保障业务迭代、性能优化、稳定性工作之外,还会探索先进的跨端技术、适配医疗场景的Agent架构赋能于业务,并积极使用AI Coding提升研发效率。在算法方向,不仅深耕业务全链路策略效果,同时自研的小荷医疗大模型在多个权威医疗Benchmark上达到行业SOTA。

1、负责医疗领域大模型的预训练、SFT、强化训练,模型性能达到业界领先水平;
2、对模型在业务场景中的效果负责,将模型成功落地应用并在业务中取得实际收益;
3、调研大模型方向尤其是医疗领域的前沿技术方案,持续提升部门关键技术竞争力。

1、2027届本科及以上学历在读,计算机、软件工程、人工智能等相关专业背景;
2、优秀的代码能力、数据结构和基础算法功底,熟练掌握C/C++或Python编程语言;
3、熟悉计算机视觉(CV)相关的算法和技术,对MLLM中模型结构、ViT训练、Detail Caption等方向有深入理论研究和实践;
4、有自然语言处理(NLP)、大模型训练和强化学习(RL)算法经验者优先。

加分项
1、有ICML、ICLR、NeurIPS、ACL、CVPR等顶级学术会议发表过有影响力研究成果的优先;
2、在ACM/ICPC、NOI/IOI、Kaggle等编程/AI比赛获奖者优先;
3、主导、参与过AI相关的有大影响力的开源/闭源项目的优先。

About ByteDance

Developing AI-driven content platforms and mobile applications.

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