AI-Driven Learning Engineer & Pedagogy Designer

career; Mountain View (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

LearnVector in Mountain View, California, is seeking a pedagogy- and engineering-focused role to build products that help learners develop new skills.

You will encode teaching judgment into scalable learning experiences and work with the founding team, including Andrew Ng, to shape the product.

You’ll prototype with AI tools, design practice tasks, explanations, and feedback, and maintain quality without constant human review.

Qualifications

• Experience designing learning experiences for skill development.
• Strong grasp of retrieval practice, worked examples, feedback, and cognitive load.

Responsibilities

• Design learning experiences — practice tasks, explanations, feedback, assessments — grounded in how people actually acquire skills, and build them into the product
• Translate pedagogy into specifications AI systems can execute: what a good lesson does, what a good feedback message contains, what a learner should produce and how it's judged
• Set and hold the quality bar for AI-generated teaching content: review it, define what "good" means mechanically, and build the checks that enforce it without a human in every loop
• Prototype quickly with AI tools — you'll build working learning experiences yourself, not hand off requirement docs
• Work with learners directly: watch sessions, run pilots, and turn what you observe into the next iteration
• Work directly with the founding team, including Andrew, on what good teaching looks like in this product

Skills

Teaching experience

Instructional design

Learning science

Python or JavaScript

Prototyping with AI

English writing

Tools

Python

JavaScript

Job description

LearnVector in Mountain View, California, is seeking a pedagogy- and engineering-focused role to build products that help learners develop new skills.

You will encode teaching judgment into scalable learning experiences and work with the founding team, including Andrew Ng, to shape the product.

You’ll prototype with AI tools, design practice tasks, explanations, and feedback, and maintain quality without constant human review.