Staff Applied Scientist, Search & Discovery
Tasks
- Assess image based search and color matching
- Build recommendation systems
- Deploy machine learning models with engineering
- Design experiments for traffic growth
- Develop semantic understanding
- Evaluate recommendation and search metrics
- Improve query parsing
- Improve search retrieval and ranking
- Prototype retrieval ranking models
- Raise catalog data quality
- Recognize search intent
- Run exploratory data analysis
Perks/Benefits
- Employee assistance program
- Flexible PTO
- Health insurance
- Hybrid work model
- Paid national holidays
- Paid sick days
- Retirement plan
Skills/Tech-stack
A/B | A/B Testing | B testing | Color matching | Data Analysis | Data Quality | Data Quality Management | Deployment MLOps | Experiment design | Exploratory Data Analysis | Hypothesis Testing | Image search | Information Retrieval | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Perceptual Color | Quality management | Query Understanding | Ranking | Recommendation Systems | Search Relevance | Semantic Embeddings | Statistical modeling
Education
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