Staff Quantitative UX Researcher

Full-time - Senior

Mountain View, CA

Publishing Industries

About the position

Join Google DeepMind's high-visibility AI Studio and Gemini API team and shape the future of AI development! As a QUXR, you will do research and develop metrics that directly inform strategy for a product that empower developers worldwide. Collaborate closely with product managers, TPMs, and engineers to design, develop, and deploy scalable, high-performance AI solutions. Thrive in a fast-paced, innovative environment where your technical expertise and passion for AI will directly impact Google's AI strategy.

Responsibilities

• Enable the Gemini API and AI Studio teams to have an understanding of user behavior within the products through deep analysis of usage logs
• Develop and maintain logs infrastructure, including advocating for instrumentation, leveraging strong SQL and Python skills
• Perform underlying research to inform metrics development and implement those metrics
• Develop data visualization and tools to enable teammates to monitor metrics and user behaviors in a self-service way, such as dashboards, interactive notebooks, etc
• Develop approaches to answer specific hypothesis, e.g. causal inference frameworks for observational data, possible A/B testing, etc
• Communicate research findings in a compelling manner to a diverse set of stakeholders

Requirements

• Bachelor's degree in Computer Science, Human-Computer Interaction, Psychology, Statistics, Economics, Neuroscience, or a related field
• Experience with research design utilizing various methods
• 8+ years of experience within User Experience, Human-Computer Interaction, applied research setting, and/or product research and development
• Proficiency in SQL and Python
• Expertise in developing ETL pipelines
• Expertise in statistics and experimental design
• Expertise in data viz techniques and tools
• Track record of communicating with cross-functional stakeholders of varying levels
• Impeccable written and verbal communication
• Practical experience in research communication to technical and non-technical audiences
• Track record demonstrating excellent command of research questions within a given domain, and of technical tools for the analysis of data within that field

Nice-to-haves

• 10+ years of relevant work experience, especially with User Experience teams
• Masters or PhD in Computer Science, Human-Computer Interaction, Psychology, Statistics, Economics, Neuroscience, or a related field
• Very strong SQL and Python coding ability
• Proficiency in programming computational and statistical algorithms for large data sets
• Prior experience on machine learning projects
• Experience in survey design and analysis, especially NLP analysis of open field responses

Benefits

• Base salary range between $168000 - $266000+ bonus + equity + benefits