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.Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world’s information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what’s next. We focus our work to add the most value for users to enable learning for school, work, and life. We believe everyone can and should have access to quality learning experiences to reach their full potential.
The US base salary range for this full-time position is $142,000-$205,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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 qualifications:
- 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 qualifications:
- 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).