Staff Machine Learning Engineer, Ads Measurement Products
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
USD 189K-389K Senior-level Full Time
Tasks
- Build scalable machine learning and data pipelines
- Define labels features and training and inference workflows
- Design offline and online evaluation strategies
- Drive technical trade offs interfaces and success metrics
- Establish ML engineering best practices for data quality feature pipelines evaluation and monitoring
- Integrate measurement signals with external partners
- Lead design and implementation of machine learning components for ads measurement
- Mentor engineers and partner teams on ML systems
- Productionize ML powered measurement methodologies and diagnostics
- Translate causal inference experimentation and incrementality into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Causal Inference | Clean rooms | Conversion API | Data Pipelines | Data Systems | Experimentation | Feature Engineering | Incrementality | Java | Large Scale Data | Large scale data systems | Large-scale | Machine Learning | Machine Learning Productionization | Marketing measurement | Model Evaluation | Model Governance | Model Monitoring | Offline evaluation | Online evaluation | Privacy-Aware ML | Probabilistic Modeling | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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