Research Intern - Applied Speech Research

Microsoft Microsoft · Big Tech · Berkeley, CA +2 · Applied Sciences

Research Intern role focused on applied speech research within the Health and Life Sciences group at Microsoft. The internship involves leveraging AI and speech technologies to improve healthcare outcomes and operations, with a focus on speech recognition, synthesis, and understanding. The role is for PhD candidates in Computer Science or related STEM fields.

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

  • PhD program in Computer Science or related STEM field

Nice to have

  • Demonstrated ability to develop and works towards a research plan
  • Ability to collaborate effectively with other teams, including research, engineering and product management
  • Proficient communication skills, both verbal and written, with a proven track record of effectively interacting with diverse teams and stakeholders
  • Ability to think unconventionally to derive creative and innovative solutions

What the JD emphasized

  • PhD program in Computer Science or related STEM field
  • submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples

Other signals

  • advancing the state of the art in speech recognition, speech synthesis, voice privacy and spoken language understanding
  • leverage various speech technologies to improve patient outcomes, reduce provider burnout and streamline healthcare operations