Research Intern - Foundations of Genai

Microsoft Microsoft · Big Tech · New York, NY +1 · Applied Sciences

Research Intern role focused on advancing Generative AI and Large Language Model Technologies, contributing to the development and exploration of LLMs and Multimodal AI models. The lab's mission is to expand AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms, with research areas including reasoning, new architectures, action models, multi-agent systems, and evaluation.

What you'd actually do

  1. As a Research Intern in MSR AI Frontiers Lab, you will perform cutting-edge research in collaboration with other researchers, engineers, and product groups.
  2. As a member of a world-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide.
  3. Embody our culture and values.

Skills

Required

  • Currently enrolled in a master’s or PhD program in Computer Science or a related STEM field.

Nice to have

  • Demonstrable ability to define an ambitious, original research agenda.
  • Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence.
  • Experience participating in a top conference in relevant research domain.
  • Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
  • Keen interest in real-world applications and impact.
  • Experience in Machine Learning, Computer Vision and related fields.
  • Research demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.

What the JD emphasized

  • publication track record
  • experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence
  • Experience in Machine Learning, Computer Vision and related fields.

Other signals

  • foundation models
  • learning agent platforms
  • LLMs
  • multimodal AI