Learning Engineer (AI)

Location: Mountain View, California, United States; on-site

Company

Builds a trustworthy AI guide for learning designed to accelerate human development, backed by a $100 million investment from Coursera.

What you will do

• Design and build learning experiences including practice tasks, explanations, feedback, and assessments.
• Translate instructional principles into specifications that AI systems can execute and evaluate.
• Define quality standards for AI-generated teaching content and build automated checks to enforce them.
• Prototype learner-facing experiences with AI tools and light engineering.
• Observe learners, run pilots, and use findings to improve the product.
• Collaborate directly with the founding team on teaching quality and product direction.

Requirements

• Hands-on experience teaching a skill through classroom teaching, corporate training, coaching, or course creation.
• In-depth knowledge and practical application of instructional design and learning science, including retrieval practice, worked examples, feedback, and cognitive load.
• Comfort with modern AI tools, prompt design, and light engineering in Python or JavaScript.
• Experience creating interactive, applied learning experiences.
• Excellent written English and the ability to author and edit high-quality learning content.

Nice to have

• Experience designing for adult professional learners or workplace upskilling.
• Experience building LLM prompt pipelines, generated-content quality gates, or AI feedback systems.
• Background in assessment design, including rubrics, performance tasks, or mastery measurement.
• Experience in marketing, business, or another applied professional domain.

Culture & Benefits

• Small, fast-moving, on-site engineering team.
• Direct collaboration with the founding team, including Andrew Ng.
• Opportunity to ship learning experiences to real learners and measure their effectiveness.
• Commitment to mutual respect and equal opportunity.
• Reasonable accommodations are available during the application and interview process.