Senior Machine Learning Engineer, Ads Experimentation & Measurements
Tasks
- Analyze A/B test results
- Build interleaving frameworks
- Build tools for faster ML iteration
- Define LTV proxy metrics
- Design causal inference methodologies
- Develop automated experimentation pipelines
- Drive product decisions through analytics
- Ensure statistical rigor across product lifecycle
- Implement CUPED variance reduction
- Implement sequential testing
- Lead experimentation and evaluation roadmap
- Mentor teams on experimental rigor
- Translate experiment outcomes into insights
Perks/Benefits
- Commute subsidy
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Mental health programs
- Office snacks
- Parental leave
- Retirement pension plan
- Training and development programs
- Volunteering and donation matching
Skills/Tech-stack
Attribution | Bayesian statistics | BigQuery | CUPED | Causal Inference | Data Analysis | Data Processing | Experimental Design | Frequentist Statistics | Interleaving | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Product Analytics | Python | Scala | Sequential testing | Simulation-Based Measurement | Snowflake | Spark | Statistics | Switchback testing | Variance reduction
Education
Regions
Countries
States
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