职先机 职场先机，快人一步
已下线 社招

Hunyuan Multimodal Reinforcement Learning Research Intern 107084

TEG

  • 帕罗奥多
  • 技术

收录时间

已下线 · 历史岗位确认下线时间：。以下为收录时的信息，不代表当前仍可申请。查看历史岗位档案

官网核实

岗位职责

Business Unit What the Role Entails Responsibilities:

  1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks.
  2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes.
  3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback. Who We Look For Requirements:
  4. Currently enrolled as a PhD student in Computer Science or a closely related field.
  5. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH.
  6. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
  7. Prior experience with diffusion models, autoregressive models, and/or text-to-image or text-to-video generation is highly preferred.
  8. Participation in ACM/NOIP is a strong plus. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals. Work Location: US-California-Palo Alto

职位要求

详情请见上方岗位职责内说明

有些机会，只在官网短暂出现

真正值得关注的岗位，常常只在企业官网短暂开放，可能两三天后就下线，也未必会同步到综合招聘平台。没有持续关注，你甚至不会知道它曾经出现。职先机持续聚合并核验官网岗位，帮你抓住职场先机，快人一步。

微信小程序 / 当前岗位

在微信里继续看这个岗位

TEGHunyuan Multimodal Reinforcement Learning Research Intern 107084

扫码直达当前岗位收藏、浏览记录和下线提醒留在微信里
电脑端可直接微信扫码；手机端可保存小程序码后在微信中识别。
微信扫码在职先机小程序查看Hunyuan Multimodal Reinforcement Learning Research Intern 107084正在准备岗位码
职先机微信小程序一岗一码 · 正式版直达保存小程序码

岗位提醒 · 01

收藏历史岗位，保留参考信息

当前岗位Hunyuan Multimodal Reinforcement Learning Research Intern 107084TEG · 帕罗奥多

01

扫码进入当前岗位无需重新搜索，直接打开当前岗位详情。

02

收藏历史岗位此岗位已经下线，收藏仅用于保存历史参考。

03

继续查看相似机会原岗位变化时，可继续浏览相关在招岗位。

职先机会持续核验公开岗位；岗位状态与最终招聘结果仍以企业招聘官网为准。

微信小程序扫码打开当前岗位

扫码查看并收藏历史岗位，不代表当前仍可申请。

微信扫码在职先机小程序收藏Hunyuan Multimodal Reinforcement Learning Research Intern 107084正在准备岗位码
保存小程序码

微信小程序 · 当前岗位

请前往微信小程序提交内推申请

TEGHunyuan Multimodal Reinforcement Learning Research Intern 107084社招 · 帕罗奥多

01进入当前岗位扫码或打开后直达本岗位内推申请页。

02提交 PDF 简历简历替换、处理进度和消息提醒在小程序内同步。

手机端将尝试直接打开微信；电脑端请使用微信扫码。

微信扫码进入Hunyuan Multimodal Reinforcement Learning Research Intern 107084内推申请页正在准备岗位码
当前岗位专属码扫码后无需重新搜索岗位保存小程序码

内推提示

暂不支持该岗位内推

如需投递，建议前往官网进行投递。