Alexa Prize teams

Learn more about the competing university teams.
80 results found
  • Our international team of 8 PhD students and faculty advisors has a wide range of experience from both academic and industrial research.
  • University of California, Santa Cruz
    Team SlugBot is proud to represent the Natural Language and Dialogue Systems laboratory at UC Santa Cruz.
  • Czech Technical University in Prague
    We are the team Alquist from CTU, Prague, Czech Republic.
  • Eve
    Brigham Young University
    We are EVE, a team of researchers from the Brigham Young University Perception, Control, and Cognition Laboratory, and we've been accepted to the Amazon Alexa Prize Challenge.
  • Carnegie Mellon University
    We are the Tartan team from Carnegie Mellon University; a diverse team of researchers interested in advancing the state of conversational AI.
  • University of California, Davis
    Named for our university's mascot, Gunrock, our team is a group of students who all share a passion for improving everyday human experiences through artificial intelligence.
  • The SalsaBot team consists of talented students from Ohio State University.
  • University of California, Santa Barbara
    The GauchoAI team is based on the Natural Language Processing Group at UC Santa Barbara.
  • University of Maryland
    The UMD-PRG (PRG stands for Perception and Robotics Group) hails from the University of Maryland.
  • Carnegie Mellon University
    The ScottyBot team hails from Carnegie Mellon University (CMU), and is a joint venture between the Language Technologies and Robotics Institutes.

Latest news

The latest updates, stories, and more about Alexa Prize.
GB, MLN, Edinburgh
We’re looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside aRead more