Senior Software Engineer, Computational Policy Lab
Harvard University5 days ago
Cambridge, MA, USASenior
Responsibilities
- Independently perform complex application and web development for large and highly complex projects.
- Design, develop, test, deploy, and scale software systems for AI in education and public policy.
- Build generative AI, machine learning, and natural language processing tools for empirical research and real-world deployment.
- Lead and collaborate on technically challenging projects involving AI, machine learning, NLP, and large-scale experimentation.
- Contribute to randomized controlled trials and other empirical methods evaluating AI-driven interventions.
- Translate theoretical models and experimental designs into high-performance, production-ready systems.
- Co-author or contribute to peer-reviewed publications, conference proceedings, and technical reports.
- Stay current with AI, computational social science, and causal inference research and technologies.
- Follow Harvard University IT technical standards, policies, and Code of Conduct.
Requirements
- Minimum of five years of post-secondary education or relevant work experience.
- Bachelor's degree and/or relevant work experience in computer science, data science, or a closely related field.
- Strong background in advanced software engineering, machine learning, artificial intelligence, and empirical research methodologies.
- Experience working with generative AI pipelines.
- Experience deploying software in a cloud environment.
- Full-stack development experience with Python and TypeScript.
- Familiarity with Svelte or React is preferred.
- Demonstrated team performance skills, a service mindset, and ability to act as a trusted advisor.
- Applicants must provide a resume, cover letter, GitHub code link, and project description.
- Applicants must confirm legal authorization to work in the United States without sponsorship for at least two years.
Benefits
- Fully benefits-eligible one-year term appointment ending one year from the date of hire, with possible renewal.
- Fully benefits-eligible position with paid time off, including parental leave.
- Medical, dental, and vision insurance beginning on day one.
- Retirement plans with university contributions.
- Wellbeing and mental health resources.
- Family and caregiver support.
- Professional development opportunities, including tuition assistance and reimbursement.
- Commuter benefits, discounts, and campus perks.
- Based in Cambridge, Massachusetts, with required on-campus work three days per week; schedule and location for remaining work are determined by the department.