4 дня назад
Learning Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Learning Scientist (AI): Designing and testing AI-native teaching methods for a trustworthy AI learning guide with an accent on learning measurement, experimental design, and assessment validity. Focus on building outcome instrumentation, running studies with real learners, and determining through data whether new teaching methods improve retention, transfer, and skill gain.
Location: Mountain View, California, United States; on-site
Company
LearnVector is building a trustworthy AI guide for learning, founded by Andrew Ng and backed by a $100 million investment from Coursera.
What you will do
- Invent and prototype AI-native teaching methods with engineers and integrate them into the product.
- Design the measurement framework for skill gain, retention, and transfer, including product instrumentation.
- Run learner studies ranging from one-week pilots to longitudinal cohorts and evaluate whether results are meaningful.
- Build performance assessments and rubrics that measure real competence, validity, and reliability.
- Set an evidence-based standard for pedagogical decisions across the company.
- Work with the founding team to shape product decisions and determine which teaching methods should be developed.
Requirements
- Deep grounding in learning science and research on retrieval, spacing, feedback, transfer, and expertise development.
- Strong experimental-design and statistical skills, including the ability to design well-powered studies.
- Research experience with human subjects in laboratory or field settings.
- Technical fluency with Python or R and the ability to collaborate with engineers on instrumentation.
- Excellent communication skills for making evidence clear and actionable to non-specialists.
Nice to have
- PhD in learning sciences, cognitive psychology, education, or a related field, or equivalent research experience.
- Experience with intelligent tutoring systems, adaptive learning, or AI-based instruction.
- Psychometrics and assessment-validity experience, including IRT, rubric calibration, or rater reliability.
- Experience measuring learning among adult professionals or in workplace contexts.
Culture & Benefits
- Small, fast-moving team working on-site in Mountain View.
- Evidence and data are used to guide product and pedagogical decisions.
- Direct collaboration with the founding team, including Andrew Ng.
- Equal-opportunity workplace committed to mutual respect and reasonable accommodations.
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