Senior Applied Scientist
Redmond, WA, US; Sunnyvale, CA, US
USD 119K-258K Senior-level Full Time
Tasks
- Build estimated conversion models
- Design and evaluate multi-task and proxy-signal models
- Design data driven attribution and weak label generation pipelines
- Develop robust learning and calibration methods
- Drive ad interaction outcome prediction modeling
- Improve offline and online measurement frameworks
- Support ad ranking bidding and advertiser ROI optimization
- Translate modeling advances into production ready systems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B Experimentation | Attribution | Causal Inference | Counterfactual evaluation | Deep learning | Feature Engineering | Large Scale Data | Large-scale | Learning systems | Machine Learning | Model Deployment | Model calibration | Multi Task Learning Systems | Multi-task Learning | Offline evaluation | Online A B Experimentation | Proxy Labels | PyTorch | Python | Representation Learning | Serving systems | Supervised Learning | TensorFlow | Training pipelines | Transformer Models | Uncertainty Estimation | Weak Supervision
Education
Regions
Countries
States
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