Microsoft Research Intern - Multimodal AI 

Taiwan, Taoyuan City 

155373702

We are looking for Research Interns to work on cutting edge research in Multimodal AI. We are particularly interested in Research Interns with background in AI, NLP, and/or CV, including topics like Video/image understanding, document layout analysis, chart understanding, multi-page multi-document question answering, novel ways of leveraging LLMs for document/video/image understanding and solving problems inherent to large language models (grounding, retrieval-based generation, etc.). Familiarity with modern LLMs/VLMs is a plus, but not required.

• Currently enrolled in a PhD program in Computer Vision, Natural Language Processing, Deep Learning, Machine Learning, AI, or a related field.
• At least 1 year of experience in NLP, computer vision, Deep learning, or multimodal research with hands-on deep learning experience.

Other Requirements

• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

• Proficient algorithmic problem solving and software development skills (Python, C/C++, etc.).
• Experience with open-source tools such as PyTorch, etc.
• Publication(s) in top-tier conferences or journals in related fields (e.g., ACL, CVPR, ECCV, ICCV, EMNLP, NAACL, NIPS, ICML, ICLR, IJCV, PAMI, etc.).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: