Startups · AI

Staff UX Quantitative Researcher, AI Enablement

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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 in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis
  • Experience researching AI/ML products, Developer APIs, or technical infrastructure
More about this role
  • Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs.
  • Define, instrument, and track system-level key performance indicators (KPIs), backend performance metrics, and product health indicators.
  • Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
  • Partner deeply with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure our backend pipelines are correctly instrumented for downstream agentic analysis.
  • Translate abstract system performance data (e.g., latency, GPU/TPU utilization, noise, storage toil) into quantifiable measures of user friction, efficiency losses, and "cognitive load".
  • 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 in quantitative research, logs analysis, measurement and attribution, data analysis, and...

Read the full posting on Google's site ↗

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