Senior Applied Scientist
Redmond, WA, US; Sunnyvale, CA, US
USD 119K-261K 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 pipelines
- Develop robust learning and calibration methods
- Drive ad outcome prediction modeling innovations
- Improve offline evaluation frameworks
- Improve online A B experimentation frameworks
- Support ad ranking bidding and attribution optimization
- Translate modeling advances into production ready systems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B Testing | Attribution | B testing | Causal Inference | Counterfactual evaluation | Data Pipelines | Deep learning | Feature Engineering | Large-scale | Large-scale Machine Learning | Machine Learning | Model calibration | Multi-task Learning | Offline evaluation | Online A/B Testing | PyTorch | Python | Series modeling | Supervised Learning | TensorFlow | Time Series | Time Series Modeling | Transformer Models | Uncertainty Estimation
Education
Regions
Countries
States
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