Principal Applied Scientist, Advertiser Demand Intelligence
United States, Washington, Redmond
USD 142K-274K Senior-level Full Time
Tasks
- Architect machine learning pipelines
- Build prompt frameworks for conversational insights
- Define modeling strategy for advertising recommendations
- Develop LLM narrative generation components
- Drive experimentation and model evaluation
- Establish AI governance and Responsible AI compliance
- Implement MLOps best practices
- Implement retrieval-augmented generation
- Lead technical design reviews
- Mentor applied science team
- Monitor model performance in production
- Retrain and validate models periodically
- Track emerging AI trends and assess impact
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Azure ML | Azure Synapse | Classification | Clustering | Data Lake | Data Pipelines | Experimentation | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Predictive Analytics | Prompt engineering | PyTorch | Python | Regression | Responsible AI | Retrieval-Augmented Generation | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting
Education
Regions
Countries
States
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