Research Intern - AI Frontiers Lab
@ Microsoft

Redmond, WA
$120,000
On Site
Intern
Posted 1 day ago

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Job Details

Overview

Microsoft Research (MSR) AI Frontiers lab is inviting applications for a Research Intern to join their team in Redmond, WA or New York City, NY. The mission is to push the limits of Artificial Intelligence by pioneering innovations in foundation models, learning agent platforms, and cutting-edge technologies.

Role and Responsibilities

As a Research Intern - AI Frontiers Lab, you will work on advancing Generative AI and Large Language Model (LLM) technologies. Your contributions include:

  • Developing and improving LLM and multimodal AI models.
  • Exploring novel model architectures and training methods.
  • Collaborating with researchers, engineers, and product groups.
  • Presenting research findings and engaging with mentors.
  • Contributing to significant breakthroughs in AI research.

About the Internship

This is a 12-week internship that offers hands-on experience with innovative projects such as Small Language Models, agentic AI systems, and new transformer architectures. Interns are paired with mentors and work closely with top researchers, benefiting from a vibrant, multidisciplinary environment tied to Microsoft’s values of respect, integrity, and accountability.

Key Skills/Competency

  • Generative AI
  • Large Language Models
  • Multimodal Models
  • Model Architectures
  • Transformer Networks
  • Machine Learning
  • Research Collaboration
  • Academic Publishing
  • Data Analysis
  • Interdisciplinary Research

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to AI research details.
  • Highlight academic work: Emphasize research publications and projects.
  • Network strategically: Connect with Microsoft researchers on LinkedIn.
  • Prepare for interviews: Review AI and ML technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review LLM architectures and transformer models.
Study recent research in generative AI methods.
Practice coding with machine learning libraries.
Analyze academic papers from top AI conferences.

Behavioral Questions

Describe a challenging research project experience.
Explain teamwork in multidisciplinary environments.
Discuss time management during intense research periods.
Share examples of handling constructive feedback.

Frequently Asked Questions