Staff Machine Learning Engineer (Ads Relevance)
Tasks
- Apply research methods to production systems
- Build embedding models for recommendations
- Build language model based relevance systems
- Collaborate cross functionally on data driven improvements
- Conduct model experiments and evaluation
- Develop machine learning models for ad relevance
- Write technical documentation for models and systems
Perks/Benefits
Skills/Tech-stack
Embedding Models | Experimentation | Information Retrieval | Language Modeling | Language Models | Large Language Models | Machine Learning | Model Evaluation | Neural Networks | Recommendation Systems | Scientific method | Two Tower Models | Two-Tower
Education
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