Software Engineer, AI for Education & Public Policy

Harvard University; Massachusetts; Hybrid; USD 120,000 - 150,000; Full time

Job summary

Harvard University’s Kennedy School invites applications for a Software Engineer within the Shorenstein Center. The role emphasizes software development, generative AI, and data science for large-scale research projects in education technology and public policy.

You will collaborate with researchers to build high-performance tools and contribute to real-world experiments. The position is campus-based in Cambridge, MA, with on-site work three days a week and a strong emphasis on production-ready

Qualifications

• Minimum of two years’ post-secondary education or relevant work experience.
• Bachelor's degree and/or relevant work experience in computer science, data science, or related field.
• Minimum of two years' relevant full-time work experience.
• Experience working with generative AI pipelines.
• Experience deploying software in a cloud environment.
• Full stack development with Python/TypeScript; familiarity with Svelte/React.

Responsibilities

• Independently perform complex applications/web development for large-scale projects.
• Design and develop software systems for education technology and AI-based tools.
• Leverage ML/NLP advances to build production-ready research tools.
• Lead technically challenging AI/ML projects and experiments.
• Collaborate with researchers to translate models into high-performance systems.
• Co-author publications and technical reports for peer-reviewed venues.

Skills

Generative AI

Cloud deployment

Full stack development

Team collaboration

Education

Bachelor's degree in CS or related field

Tools

Python

TypeScript

Svelte

React

Job description

Harvard University’s Kennedy School invites applications for a Software Engineer within the Shorenstein Center. The role emphasizes software development, generative AI, and data science for large-scale research projects in education technology and public policy.

You will collaborate with researchers to build high-performance tools and contribute to real-world experiments. The position is campus-based in Cambridge, MA, with on-site work three days a week and a strong emphasis on production-ready