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Software Engineer at Harvard University | Cambridge

On-site Full-time

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Experience Level

Entry Level

Qualifications

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

About the job

Join Professor Goel’s Computational Policy Lab at the Shorenstein Center, Harvard Kennedy School, where we are on the cutting edge of software development, generative AI, and data science. As a Software Engineer, you will contribute to a dynamic environment focused on media, politics, and public policy through innovative teaching and impactful research initiatives.

Application Requirements

  • To ensure a complete application, please include:
    • Your resume
    • A cover letter that includes:
      • A link to your GitHub code demonstrating your technical skills, ideally a project you would enjoy discussing in an interview
      • A concise description of the linked project
      • Confirmation of your legal authorization to work in the United States without sponsorship for a minimum of two years

Duties and Responsibilities

As a Software Engineer, your core responsibilities will include:

  • Executing complex applications and web development tasks for large-scale projects.
  • Designing and developing advanced software systems tailored for extensive research initiatives, focusing on educational technology and generative AI tools.
  • Utilizing the latest advancements in machine learning and natural language processing to create, test, and deploy sophisticated algorithmic tools that support rigorous empirical research.
  • Leading collaborative projects involving AI, machine learning, natural language processing, and large-scale experimentation.
  • Assisting in the design and execution of randomized controlled trials and empirical methods to assess the effectiveness of AI-driven interventions.
  • Working collaboratively with researchers to translate theoretical models into high-performance, production-ready systems.
  • Co-authoring academic publications and technical reports for peer-reviewed journals and conferences.
  • Staying updated on emerging technologies and research developments in AI, computational social science, and causal inference.
  • Adhering to Harvard University’s IT standards, policies, and Code of Conduct.

You will engage in projects such as:

  • AI in Education: Designing and testing innovative AI technologies that provide personalized learning experiences for students, exemplified by our flagship tool, PingPong, currently undergoing evaluation in a large-scale randomized experiment across universities.

About Harvard University

At Harvard University, you will become part of a vibrant community dedicated to advancing our mission of making a meaningful impact on the world. We foster an environment that encourages innovation, collaboration, and skill development, and we are committed to creating a diverse and inclusive workplace where everyone can thrive. Why join the Harvard Kennedy School?The John F. Kennedy School of Government is a prestigious institution within Harvard University, focused on enhancing public policy and leadership to create safer, freer, just, and sustainably prosperous societies. Through cutting-edge research and exceptional teaching combined with direct engagement with practitioners, we are uniquely positioned to address public challenges effectively. Your work at the Harvard Kennedy School will make a significant difference.

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