Research Engineer

• Provide hands-on technical guidance to product and research teams, shaping roadmaps and reviewing architectures for feasibility and quality.
• Develop proof-of-concepts and production-grade ML pipelines exploring generative AI applications in education.
• Lead evaluations of ML/AI systems to ensure performance, reliability, and safety in student- and educator-facing applications.
• Collaborate with non-technical stakeholders to convert product needs into actionable technical requirements.

This role directly advances educational technology by applying cutting-edge AI to real-world learning challenges, improving outcomes for students and educators through responsible innovation.

• Proven experience building production-grade ML-powered software in a commercial environment.
• Track record of conducting and publishing research in fields studying human behavior (e.g., psychology, education, user experience).
• Hands-on familiarity with modern generative AI techniques (LLM evaluation, RAG, agentic architectures).
• Strong communication skills and ability to collaborate across disciplines.

Compensation and perks not specified in the posting.

Renaissance Philanthropy provides on-demand development technical assistance for grant-funded educational technology projects, helping mission-driven teams achieve their technical and impact goals.