Senior Applied Scientist
Redmond, WA, US; Sunnyvale, CA, US
USD 119K-261K Senior-level Full Time
Tasks
- Build and deploy scalable training pipelines and model serving
- Build estimated conversion models
- Conduct offline evaluation and online AB experimentation
- 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
- Translate modeling advances into production ready systems
Perks/Benefits
- N/A
Skills/Tech-stack
AB Testing | Attribution Modeling | Causal Inference | Counterfactual evaluation | Data Processing | Data labeling | Deep learning | Feature Engineering | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Model calibration | Multi-task Learning | Offline evaluation | Online Experimentation | Proxy Labels | PyTorch | Python | Representation Learning | Supervised Learning | TensorFlow | Uncertainty Estimation | Uncertainty Quantification | Weak Labels
Education
Regions
Countries
States
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