Research Intern for Visual Computing Group – Microsoft Research

Research Intern, Visual Computing Group
Position:
Research Intern
Job Type:
Full-time Intern
Location:
Beijing / Shanghai
Number of Openings:
1-2
Group Introduction
The Visual Computing Group at Microsoft Research Asia conducts cutting-edge research on multimodal foundation models, visual generation, and AI agents for creative and knowledge-work scenarios. Our mission is to advance the next generation of AI systems that can understand, reason, create, and collaborate with users through multimodal interactions.
Our current research spans:
Multimodal reasoning and generation
Agentic content creation and editing
Visual generation and understanding
Human-AI collaboration and AI-native productivity experiences
Post-training and reinforcement learning for multimodal models
Interactive design and controllable generation
Data generation, evaluation, and model alignment
Our technologies are actively transferred to Microsoft Office, M365 Copilot, and future AI-native productivity experiences.
Researchers and interns in the group have opportunities to publish at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, and ICLR, while also contributing to real-world product innovation.
Responsibilities
Conduct cutting-edge research in multimodal AI, visual understanding and generation, and AI agents.
Design, implement, and improve foundation models and agent systems to solve real-world problems.
Build datasets, evaluation benchmarks, and experimentation pipelines for model development.
Explore post-training, reinforcement learning, reasoning, and alignment techniques for multimodal models.
Collaborate closely with research and product teams to translate research innovations into impactful user experiences.
Publish research findings at leading academic venues and contribute to the broader research community.
Qualifications
Required
Ability to devote most of your effort to the internship during the internship period.
Experience in machine learning, deep learning, computer vision, natural language processing, or related fields.
Familiarity with one or more of the following areas:
1.Large Language Models (LLMs)
2.Vision-Language Models (VLMs)
3.Diffusion and generative models
4.Reinforcement learning and post-training
5.AI agents and tool use
6.Multimodal reasoning and generation
Strong problem-solving and research capabilities.
Ability to read and communicate effectively in English.
Strong communication and collaboration skills.
Written approval from academic advisor.
Preferred
Research experience demonstrated through publications, open-source contributions, competition achievements, or impactful projects.
Experience with large-scale experimentation, evaluation, data curation, synthetic data generation, or model alignment.
Experience developing agentic systems, multimodal applications, or productivity-related AI systems.
Experience with distributed training, model deployment, or systems optimization.
Internship Duration
Must obtain approval from academic advisor.
Minimum internship duration: 3 months.
Longer internship periods are strongly encouraged.
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