Research Intern - AI Frontiers

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

Research Intern position at Microsoft AI Frontiers Lab focusing on advancing agentic model capabilities. The role involves creating models and agents that can perform tasks across digital systems using automation, reasoning, and interaction, leveraging both text and visual environments. The research includes areas like reinforcement learning for reasoning and tool use, novel training algorithms, synthetic environment creation, multi-agent training, scaling laws, and optimization techniques. The role also involves working with various data modalities and modern model architectures, with a focus on publishing in top-tier venues and potentially shipping AI technologies in products.

What you'd actually do

  1. Research Interns put inquiry and theory into practice.
  2. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life.
  3. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides.
  4. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.
  5. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Skills

Required

  • Accepted or currently enrolled in a master's or PhD program in Computer Science or related STEM field.
  • At least 1 year of experience with deep learning and large language model training.

Nice to have

  • Proven expertise in language model pre-training, post-training, or reinforcement learning.
  • Proven publication record in top-tier conferences.
  • Demonstrated ability to develop original research and perform hands-on research in a collaborative and dynamic environment.

What the JD emphasized

  • demonstrated ability for technical work
  • proven record of influential publications on Artificial Intelligence
  • Proven expertise in language model pre-training, post-training, or reinforcement learning.
  • Proven publication record in top-tier conferences.
  • Demonstrated ability to develop original research and perform hands-on research in a collaborative and dynamic environment.

Other signals

  • advancing the state of the art in agentic model capabilities
  • creating models and agents that can reliably perform tasks across digital systems on behalf of humans
  • combining automation, reasoning, and interaction capabilities to execute workflows end-to-end
  • leveraging both text-based environments (CLI tools, APIs, scripts, MCPs) and visual environments (GUI applications)