Microsoft Research Intern - Multimodal Learning 

Taiwan, Taoyuan City 

378753301

• Currently enrolled in a master or PhD program in Computer Science, Electrical Engineering, Mathematics or a related field.

• 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 above, you’ll need to submit a minimum of two reference letters for this position. 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.
• 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.

• Ability to work independently and collaboratively in a dynamic and vibrant research environment.
• Willingness to embrace knowledge/technique outside your field of research.
• Solid programming skill in Python, PyTorch and experience conducting experiments and writing papers.
• Experience in LLM pre-training, post-training and inference.
• Reinforcement Learning experiences and frameworks (like VeRL, rLLM)
• Relevant publication such as CVPR, ACL, ICML, ICCV, ECCV, NeurIPS, ICLR, EMNLP etc.

Intern - MSR- The typical base pay range for this role across Canada is CAD $5,600 - CAD $10,000 per month.

Find additional pay information here:

• Research and Analysis: Conduct thorough research on emerging trends in LLM, prompt engineering, multimodal foundation model.
• Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
• Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.