Staff Ux Quantitative Researcher, Search Ai, Quality and Trust

Google Google · Big Tech · Mountain View, CA +3

Quantitative UX Researcher focused on user behavior and product quality/trust within Google Search, leveraging empirical methods and collaborating with engineering and product teams. The role involves analyzing user data, influencing stakeholders, and driving product improvements, with a requirement for experience in shipping ML, NLP, or LLM-powered products.

What you'd actually do

  1. Influence stakeholders across organizations to gain support for research-based, user-centric solutions.
  2. Manage project priorities in alignment with product goals, and oversee allocation of resources within the project.
  3. Drive ideas to improve products and services through research-driven insights and recommendations.
  4. Lead teams to define and evaluate product, service, and ecosystem impact.
  5. Own idea and strategy discussions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.

Skills

Required

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in an applied research setting, or similar.
  • Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
  • Experience building and shipping products powered by Machine Learning, Natural Language Processing (NLP), or Large Language Models (LLMs).

Nice to have

  • Master's degree or PhD in human-computer interaction, cognitive science, statistics, psychology, anthropology, or a related field.
  • 8 years of experience conducting UX research on products.
  • 7 years of experience working with executive leadership.
  • 5 years of experience managing projects, and working in a changing organization.
  • Experience working in close partnerships with teams developing or training Generative AI products and models.

What the JD emphasized

  • Experience building and shipping products powered by Machine Learning, Natural Language Processing (NLP), or Large Language Models (LLMs).
  • Experience working in close partnerships with teams developing or training Generative AI products and models.

Other signals

  • UX research
  • user behavior
  • empirical methods
  • logs analysis
  • survey research
  • regression
  • behavioral research design
  • statistical proficiency
  • programming skills
  • actionable insights
  • impact on billions of people
  • Machine Learning
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • Generative AI products and models