Research Intern - Foundation Models and Agentic Systems

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Applied Sciences

Research intern role focused on advancing Generative AI and LLM technologies, specifically in foundation models and agentic systems. The work involves developing, improving, and exploring LLMs and Multimodal AI models, with research areas including reasoning, orchestration, multi-agent systems, and evaluation.

What you'd actually do

  1. contribute to efforts on the advancement of Generative AI and Large Language Model Technologies
  2. developing, improving, and exploring the capabilities of LLMs and Multimodal AI models
  3. reasoning method for LLMs and multimodal models
  4. orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight
  5. Evaluation and Understanding of model and agent capabilities

Skills

Required

  • Currently enrolled in a MS or PhD program in Computer Science or a related STEM field

Nice to have

  • Demonstrated ability to develop original research agendas
  • Ability to collaborate effectively with other researchers and product development teams
  • Proficient interpersonal skills, cross-group, and cross-culture collaboration
  • Ability to think unconventionally to derive creative and innovative solutions

What the JD emphasized

  • advance the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety
  • innovations in foundation models and learning agent platforms
  • reasoning method for LLMs and multimodal models
  • orchestration and multi-agent systems
  • Evaluation and Understanding of model and agent capabilities

Other signals

  • foundation models
  • agentic AI systems
  • LLMs
  • Multimodal AI models