Senior Applied Scientist
Redmond, WA, US; Sunnyvale, CA, US
USD 119K-258K Senior-level Full Time
Tasks
- Build estimated conversion models
- Build scalable training pipelines
- Deploy production ready ML models
- Design data-driven attribution pipelines
- Develop robust learning and calibration methods
- Drive ad interaction prediction modeling
- Evaluate model performance offline and online
- Generate weak labels from user behavior
- Improve offline and online measurement frameworks
- Serve models for ad ranking and bidding
- Train multi task and proxy signal models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B Testing | Attribution | B testing | Calibration | Causal Inference | Counterfactual evaluation | Data Pipelines | Data labeling | Deep learning | Feature Engineering | Large Scale Data | Large-scale | Large-scale Data Pipelines | Machine Learning | Model Serving | Multi-task Learning | Offline evaluation | Online A/B Testing | Online Experimentation | Proxy Labels | PyTorch | Python | Representation Learning | Supervised Learning | TensorFlow | Training pipelines | Transformer Models | Uncertainty Estimation | Weak Supervision
Education
Regions
Countries
States
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