Learning Systems Data Engineer

About the Team

The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools.

This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.

About the Role

OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product.

You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning.

Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.

What You'll Work On

- Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.

- Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.

- Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.

- Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.

What Success Looks Like in the First 12 Months

- Help launch new AI learning experiences that reach a broad set of learners.

- Refine infrastructure that allows educators to deliver adaptive learning and assessments.

- Validate the learning analytics pipeline to provide deeper insights into AI driven learning.

- Empower education teams to use AI tools to build and iterate at scale.

Core Qualifications

- 5–10+ years of experience in software, data, or learning engineering.

- Experience building data systems or infrastructure that support education & training.

- Experience working with learning data, analytics pipelines, or educational metrics.

- Comfort translating learning or pedagogical goals into technical systems.

Strong Additional Qualifications

- Background in learning science, instructional design, or education research.

- Experience building LMS platforms or training infrastructure.

- Experience with learning analytics, learner data models, or educational measurement.

- Experience building systems that incorporate AI models into educational workflows.

- Experience with credentialing, certification systems, or competency frameworks.

- Experience building platforms used by non-technical educators or curr