About the job
The Education unit's mission is to enhance learning for work, school, and life. We aim to democratize learning, empowering individuals everywhere with the knowledge and skills to grow. We believe artificial intelligence holds a key to unlocking this potential, and we're building transformative learning capabilities to make it a reality. The Learning Science team collaborates with Google product teams including Gemini, Search, YouTube, and Classroom to build high-quality educational products grounded in learning science principles that have a measurable impact.
Responsibilities
Lead development of learning impact methodology for use of Google's education tools and features.
Develop and implement evaluation frameworks to assess the quality of generative artificial intelligence (GenAI) tools.
Conduct literature reviews and share results of foundational research on best practices for learning.
Bring learning science as you consult with product development teams (including novel products) throughout the product development life cycle.
Lead discussions and training sessions about learning science principles, the future of learning, and how GenAI can shape better outcomes for all learners.
Qualifications
Minimum
Bachelor's degree in Education, Learning Science, or equivalent practical experience.
4 years of experience as an instructor, in curriculum development, or as a professional educator in K12 or higher education.
Experience working with cross-functional teams and business leadership stakeholders.
Experience with instructional design or learning science principles and processes.
Preferred
PhD in Education, Learning Science, Neuroscience, Cognitive Science, or a related field.
6 years of experience applying learning theory, with experience as an educator or tutor.
Experience conducting original learning science research (e.g., literature reviews, logs analysis, RCTs).
Experience working with partners (e.g., school districts) to launch research studies on technology's impact.
Experience designing evaluation frameworks for tool quality or learning impact.
Experience building or advising on education technology products leveraging Generative AI (GenAI).