Staff Machine Learning Engineer - Search
CA San Francisco 153 Kearny Street, United States
USD 192K-357K Senior-level Full Time
Tasks
- Balance relevance latency scalability
- Build end-to-end machine learning systems
- Define search technical strategy
- Develop data pipelines and feature engineering
- Develop retrieval ranking query understanding
- Drive search and personalization improvements
- Lead design of search algorithms
- Mentor engineers and data scientists
- Partner with product data and infrastructure teams
- Run experimentation and data driven innovation
- Serve models and optimize for production
- Train models and run experimentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Approximate Nearest Neighbor | Artificial Intelligence | Azure | Data Pipelines | Distributed Systems | Entity recognition | Experimentation | Faiss | Feature Engineering | Feature Stores | GCP | Language Processing | Learning-to-Rank | Machine Learning | Metrics | Natural Language | Natural Language Processing | Nearest neighbor | Online Experimentation | Personalization | Python | Query Understanding | Ranking | Recommender Systems | Retrieval | SQL | ScaNN | Semantic Search | Vector Search
Education
N/A
Regions
Countries
States
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