ZipRecruiter

Log In

1

Quantitative Researcher Machine Learning Jobs in Stanford, CA

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We are looking for a talented Machine Learning Researcher to join our core R&D team. You will design and implement advanced machine learning models for EEG-based neural decoding ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

$9.8K/wk

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

LLNL

Machine Learning Researcher

Livermore, CA

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of one or more mission related scientific applications. * Provide strategic guidance to LLNL ...

Acceler8 Talent

Research Engineer

Alameda, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

Santa Clara, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

Hayward, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

San Francisco, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

San Mateo, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

Sunnyvale, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

San Jose, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

Acceler8 Talent

Research Engineer

Fremont, CA · On-site

$300K/yr

The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning. You'll work with petabyte-scale, multimodal time-series data refreshing in ...

next page

Showing results 1-20

All JobsQuantitative Researcher Machine Learning JobsQuantitative Researcher Machine Learning Jobs in Stanford, CA

Quantitative Researcher Machine Learning information

See Stanford, CA salary details

$61.7K

$140K

$230.9K

How much do quantitative researcher machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quantitative researcher machine learning in Stanford, CA is $140,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $179,200.00 per year, depending on experience, location, and employer.

What are popular job titles related to Quantitative Researcher Machine Learning jobs in Stanford, CA?

For Quantitative Researcher Machine Learning jobs in Stanford, CA, the most frequently searched job titles are:

What job categories do people searching Quantitative Researcher Machine Learning jobs in Stanford, CA look for?

The top searched job categories for Quantitative Researcher Machine Learning jobs in Stanford, CA are:

What cities near Stanford, CA are hiring for Quantitative Researcher Machine Learning jobs?

Cities near Stanford, CA with the most Quantitative Researcher Machine Learning job openings:

Quantitative Researcher Machine Learning jobs near you

Senior Staff Quantitative Product Researcher

San Francisco, CA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $240/hr

Other

Posted 6 days ago

Job description

  • Lead the end-to-end development of user-centered metrics, including construct definition, survey design and validation, reliability and sensitivity testing, experimentation planning, and behavioral proxy or predictive model development
  • Extend measurement work into model stewardship by informing retraining decisions, evaluating generalizability across user segments, and stress-testing model limitations
  • Conduct deep-dive learning analyses to identify drivers and levers behind key metrics
  • Translate analyses into actionable direction for product and Data Science partners
  • Set and execute the learning agenda across a broad problem space
  • Partner as an equal with Data Science and Engineering to shape measurement work
  • Synthesize behavioral analyses, experiment results, qualitative insights, and research findings to inform product and business decisions
  • Present findings to senior leadership
  • Partner with research managers to set quantitative research direction and mentor junior quantitative researchers
Requirements
  • 7+ years of quantitative user research experience with large-scale consumer data
  • Track record leading metric development end-to-end, from construct definition through survey validation, experimental validation, and behavioral proxy or predictive modeling
  • Deep expertise in survey methodology, including construct validity, reliability, and sensitivity
  • Expertise in statistical modeling, experimentation at scale, and behavioral analysis
  • Experience informing ML model evaluation and maintenance, including retraining triggers, segment generalizability, and failure modes
  • Fluency in R or Python and SQL
  • Strong data visualization skills
  • Ability to operate as a peer to Data Science and Engineering and guide technical work direction
  • Experience working horizontally across teams, developing strategy with cross-functional partners, and presenting to senior leadership
  • Experience leveraging AI tools in the research process with discernment and a high quality bar
  • PhD in a computational social science, statistics, computer science, or related field preferred, or equivalent practical experience

Demonstrates extensive expertise in quantitative user research, statistical modeling, and survey methodology, with a strong ability to translate complex analyses into actionable insights for product and business decisions. Proficient in collaborating with cross-functional teams, including Data Science and Engineering, to drive measurement strategies and mentor junior researchers.

Highest-signal resume keywords
  • Quantitative User Research
  • Statistical Modeling
  • Survey Methodology
  • R or Python and SQL
  • Data Visualization
ATS Optimization Keywords Hard Skills
  • Metric Development
  • Construct Definition
  • Survey Validation
  • Experimental Validation
  • Behavioral Proxy Modeling
  • Reliability Testing
  • Sensitivity Testing
  • Machine Learning Model Evaluation
  • Behavioral Analysis
  • Deep-Dive Learning Analyses
Soft Skills
  • Collaboration
  • Mentoring
  • Presentation Skills
  • Strategic Development
Certifications & Qualifications
  • PhD in Computational Social Science
  • PhD in Statistics
  • PhD in Computer Science
Industry Keywords
  • Consumer Data
  • User-Centered Metrics
  • Experimentation Planning
  • Model Stewardship
  • Cross-Functional Partnerships
Tools & Technologies
  • AI Tools
  • Data Visualization Tools
#J-18808-Ljbffr

Apply