Research Intern for Machine Learning Group – Embodied AI research

Position Title: Research Intern for Machine Learning Group – Embodied AI research
Job Type: Full-time Intern
Number of Openings: 2-4
Location: Beijing

Group Introduction:

We focus on building foundation models for embodied AI. In terms of algorithmic research, our interests include but are not limited to latent action learning, VLA, World Model, RL, and other research directions. We focus on learning decision-making knowledge from internet-scale video data to enhance the generalization capabilities of embodied AI foundation models. Over the past few years, we have published numerous papers in top international conferences and journals. Our proposed IGOR framework achieves, for the first time, the transfer of human movements to robots solely through latent actions learned from internet-scale videos, opening new possibilities for human-to-robot knowledge transfer and control. We also have extensive experience in RL; our Mahjong AI system Suphx became the first AI system to achieve the rank of ten-dan on the internationally renowned professional Mahjong platform “Tenhou,” surpassing the average level of top human players in the platform’s open room.

Job Responsibilities:

  1. Build generalizable embodied AI foundation models, iterating and improving upon the training pipeline that has already been established within the team.
  2. Abstract research problems from the above processes and conduct algorithm research, such as in latent action, VLA, world model, and RL.

Qualifications:

  1. PhD in Computer Science, Software Engineering, Electrical Engineering, or other related fields. Undergraduate and Master’s students aspiring to scientific research are also welcome to apply.
  2. Strong programming skills, good communication abilities, and a spirit of teamwork.
  3. Basic knowledge in embodied intelligence/deep learning, with the ability to understand top international conference papers in the field of embodied intelligence, and hands-on experience in deep learning.
  4. Bonus points: Achievements in mathematics/physics/informatics competitions; experience in developing and researching embodied intelligence algorithms; publications in top international conferences and journals on embodied intelligence.

Internship Duration Requirements:

Must obtain permission from your academic advisor and commit to at least three months of internship.

Please be sure to download and complete the application form (Application form link: https://aka.ms/InternApplication ) and send it along with a complete English and Chinese resume (in PDF/Word format) to: MSRAih@microsoft.com & lizo@microsoft.com. Please include “Research Intern for Machine Learning Group – Embodied AI research ” in the email subject line.

 

 

岗位名称：机器学习组—具身智能研究实习生
工作性质：全职实习
招聘人数：2-4人
工作地点：北京

组别简介：

我们关注Embodied AI foundation model的研究。在算法研究方面，我们的研究兴趣包括但不限于latent action learning，VLA， World Model，RL等研究方向。我们专注于从internet-scale video data中学习决策知识，来提高embodied AI foundation model的泛化能力。在过去的几年里，我们在顶级国际会议和期刊上发表了多篇论文。我们提出的IGOR框架，通过互联网规模的视频学习latent action, 首次实现了仅通过latent action将人类的动作迁移到机器人上，开启了人类到机器人知识迁移和控制的新的可能性。我们在RL也上有深厚的积累，我们的研发的麻将 AI 系统 Suphx 成为首个在国际知名专业麻将平台 “天凤”上荣升十段的 AI 系统，其实力超越该平台公开房间顶级人类选手的平均水平。

工作职责：

  1. Build泛化的embodied AI foundation model，在组内已经搭建好的training pipeline上做迭代的改进和提高
  2. 从上述过程中抽象研究问题，进行算法研究，比如在latent action，VLA，world model，RL方面的研究

任职要求：

  1. 计算机科学、软件工程、电子工程或其它相关专业博士，有志于科研的本科生或硕士也欢迎申请；
  2. 具有较强的编程实现能力，良好的沟通能力和团队协作精神
  3. 具备一定的具身智能/深度学习基础，能够读懂顶级国际会议具身智能方面的论文，有深度学习上手经验
  4. 加分项：有数学/物理/信息学竞赛方面的成绩；有具身智能算法的开发和研究经历；在顶级国际会议和期刊上发表过具身智能方面的工作。

工作时间要求：

能获得导师许可并保证至少三个月的实习。

请务必下载并填写申请表（申请表链接：https://aka.ms/InternApplication ）并将其与完整的中英文简历（PDF/Word形式）一同发送至： MSRAih@microsoft.com & lizo@microsoft.com，邮件标题中注明：机器学习组—具身智能研究实习生。

了解更多“明日之星实习生计划”，请访问：微软亚洲研究院“明日之星”实习生项目 – Microsoft Research