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Senior Software Engineer, Computational Policy Lab

On-site Full-time

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Experience Level

Senior

Qualifications

Basic Qualifications:A minimum of five years of relevant post-secondary education or work experience. Additional Qualifications and Skills:A Bachelor's degree or relevant experience in computer science, data science, or a related field, emphasizing advanced software engineering, machine learning, artificial intelligence, and empirical research methods. Experience with generative AI pipelines. Proficiency in deploying software within cloud environments. Strong team collaboration skills, a service-oriented mindset, and the capability to act as a trusted advisor. Full stack development experience in Python and TypeScript, with familiarity in Svelte or React preferred.

About the job

The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is on the lookout for a Senior Software Engineer with deep expertise in software development, generative AI, and data science. This role is embedded within the Shorenstein Center, which focuses on critical areas of inquiry at the intersection of media, politics, and public policy. As part of our team, you will play a vital role in advancing teaching and research initiatives that strive to make a meaningful impact.

Application Requirements

  • To be considered, applications must include:
    • A detailed resume
    • A cover letter that includes:
      • A link to a code sample on GitHub that showcases your technical abilities, ideally a project you would enjoy discussing in an interview
      • A brief description of the linked project
      • Verification of your legal authorization to work in the United States without sponsorship for a minimum of two years

Job-Specific Responsibilities:

Your main duties will include:

  • Independently managing complex applications/web development for large-scale projects
  • Designing and implementing sophisticated software systems geared towards large-scale research projects, focusing on educational technology and generative AI tools.
  • Utilizing recent advancements in machine learning and natural language processing to create, test, and deploy cutting-edge algorithmic tools that support empirical research.
  • Leading and collaborating on projects that involve AI, machine learning, natural language processing, and extensive experimentation.
  • Contributing to the design and implementation of randomized controlled trials and other empirical methodologies to assess the effectiveness of AI-driven interventions.
  • Working closely with researchers to convert theoretical models into high-performance, production-ready systems.
  • Co-authoring or contributing to academic papers and reports for peer-reviewed journals, conferences, and broader audiences.
  • Keeping up with emerging technologies and research in AI, computational social science, and causal inference.
  • Adhering to Harvard University’s IT technical standards and Code of Conduct.

Projects you may be involved in include, but are not limited to:
AI in Education: We are developing AI-powered technologies that exceed standard tools by providing customized support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment.

About Harvard University

Joining Harvard University means becoming part of a dynamic community dedicated to advancing the university's mission in impactful ways, fostering innovation, collaboration, and skill development. We are committed to cultivating a diverse and welcoming environment where all individuals can thrive. Why join the Harvard Kennedy School?The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools within the university, focused on enhancing public policy and leadership for safer, freer, more just, and sustainably prosperous societies. By integrating cutting-edge research with outstanding teaching and direct interaction with practitioners, we tackle public challenges like no other institution can. Working at the Harvard Kennedy School allows you to make a significant difference.

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