Work on multiple ongoing projects related to educational technology.
Collaborate with team members to design and implement frameworks for teaching and learning.
Collaborate with team members to integrate education concepts with technological advancements (e.g., LLMs, generative AI, user interfaces).
Support structured algorithm and system research on machine learning.
Test and debug lines of code and optimize performance.
Support development and check accuracy of Large Language Models (LLMs) designed to support education related activities.
Integrate LLMs, generative AI, and user interfaces.
Produce written documentation for code and datasets.
Collaborate with other computer and data scientists to propose solutions, reduce inefficiencies, and support ongoing activities.

Requirements

Working towards a M.S. or a Ph.D. in Computer Science, machine learning, data science, or related field.
Must possess strong Software Engineering skills and communication skills.
Experience using R, Java, C++, and/or Python for data science.
Desired skills: Experience using and creating technology and AI (including generative AI) for educational spaces.
Publications in your field a plus
Effective communicator, including excellent writing skills and the ability present research plans and findings in compelling ways.
US Citizenship or Permanent Resident
Strong interpersonal skills.
A commitment to diversity, equity, inclusion, and belongingness both in research and in the workplace.

Benefits

competitive benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata sciencesoftware engineeringRJavaC++Pythonalgorithm developmentdebuggingperformance optimization

Soft Skills

communication skillsinterpersonal skillseffective communicatorwriting skillspresentation skillscollaborationproblem-solvingcommitment to diversityequityinclusion