Learning Systems Engineer

OpenAINew York, NY

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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 curriculum teams.

Responsibilities

  • 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.
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