CareerPlanSign in

Software Engineer, Computational Policy Lab

Cambridge, MA, us💼 Full-time🗓 2026-09-21 → 2026-09-25

Core

Build and deploy generative AI and machine learning tools for education technology and public policy research, including randomized controlled trials.

Role type

Senior IC software engineer (generative AI & data science)

Builds

Production-ready AI systems for education (e.g., PingPong) and public service delivery

Domain

Public policy, education technology, computational social science

Deliverable

production ML models | product features

Required skills

Full stack development (Python, TypeScript), Generative AI pipelines, Cloud deployment, Empirical research methodologies, Large-scale web development

Preferred skills

Svelte, React, Causal inference

Technologies

Python, TypeScript, Svelte, React, Cloud environments

Responsibilities

Design complex software systems for large-scale research projects, Leverage machine learning and NLP to build algorithmic tools, Lead technically challenging projects involving AI and ML, Collaborate on randomized controlled trials, Translate theoretical models into production-ready systems, Contribute to academic publications

Seniority

Mid-level, hands-on IC

Sourced via smartrecruiters · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.