Principal Applied Scientist
Tasks
- Analyze large-scale data
- Collaborate with applied scientists and engineers
- Collect training data
- Define iterative ranker release lifecycle
- Define ranking and relevance metrics
- Deploy models to production
- Design machine learning models
- Develop next generation ranking algorithms
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Computer Vision | Data Mining | Deep learning | Information Retrieval | Language Processing | Machine Learning | Model Deployment | Model Training | Natural Language | Natural Language Processing | Online Learning | Ranking algorithms | Word Embeddings
Education
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