Staff UX Quant Researcher, AI Enablement

Google LLC; Seattle (WA); On-site; USD 188,000 - 274,000; Full time

Benefits offered by this job

Health insurance

Retirement match

PTO 20 days

Sick time 69h Seattle

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google LLC is hiring a Staff UX Quantitative Researcher for AI Enablement in the United States. You will join a multi-disciplinary team to study user behavior through empirical methods, build robust data pipelines, and instrument backend systems for measurement.

The role blends computer science with psychology and statistics to derive actionable insights. You will partner with Engineering, Product Management, and ML researchers to drive impact across development stages, using Python, R, and

Qualifications

• Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
• Experience researching AI/ML products, Developer APIs, or technical infrastructure.
• Bachelor’s degree or equivalent practical experience.

Responsibilities

• Design and implement data pipelines to parse, audit, and analyze large-scale system logs.
• Define and track KPIs, backend performance metrics, and product health indicators.
• Develop scripts to parse logs and transform data into actionable patterns.
• Collaborate with Engineers, Applied Data Scientists, and ML researchers on instrumentation for analysis.
• Translate system performance data into measures of user friction and efficiency losses.

Skills

Quantitative research

Logs analysis

Data analysis

Statistical methods

Python

R

MATLAB

C++

Java

Go

Education

Bachelor’s degree or equivalent

Job description

Google LLC is hiring a Staff UX Quantitative Researcher for AI Enablement in the United States. You will join a multi-disciplinary team to study user behavior through empirical methods, build robust data pipelines, and instrument backend systems for measurement.

The role blends computer science with psychology and statistics to derive actionable insights. You will partner with Engineering, Product Management, and ML researchers to drive impact across development stages, using Python, R, and