Learning Engineer - Instrumentation and Analysis - Remote

Overview

Learnvia is a new Carnegie Mellon University initiative focused on transforming post-secondary math education through research-driven, AI-enhanced courseware. We are seeking a Learning Engineer to help us deeply understand how learners interact with our platform and how their skills grow over time.

In Short

• Partner with engineering to design and implement event tracking.
• Ensure logging schemas capture fine-grained data.
• Audit and maintain data quality for actionable insights.
• Analyze learner data to identify improvement opportunities.
• Apply learning science models to track skill growth.
• Collaborate with product managers and designers on features.
• Support A/B testing and measure effectiveness of interventions.
• Deliver business-oriented reports and dashboards.
• Demonstrate clear communication for non-technical audiences.
• Passion for improving learner outcomes through data.

Requirements

• Bachelor’s degree required, Master’s preferred.
• 3+ years of experience in Learning Sciences or related fields.
• Experience analyzing learner interaction data.
• Strong analytical and statistical skills (SQL, Python, R).
• Experience with cognitive modeling and educational data mining.
• Familiarity with mathematics instruction at the higher education level.
• Knowledge of learning science research and best practices.
• Combination of education and relevant experience considered.
• Successful pre-employment background check required.

Benefits

• Comprehensive medical, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits for professional growth.
• Ample paid time off and observed holidays.
• Access to fitness center and childcare support.
• Free Pittsburgh Regional Transit bus pass.
• Life and accidental death insurance.
• Dynamic and inspiring work environment.
• Opportunities for professional development.
• Supportive and collaborative team culture.