Senior Machine Learning - Search
Tasks
- Advance multimodal embedding quality
- Build embeddings and relevance signals
- Build personalized ranking layers
- Design retrieval pipelines
- Develop multi task deep ranking models
- Engineer recommendation algorithms
- Incorporate metadata taxonomy and knowledge graph features
- Integrate LLM enhanced knowledge into retrieval and ranking
Perks/Benefits
- N/A
Skills/Tech-stack
BM25 | C++ | Collaborative Filtering | Deep learning | Dense vectors | Embeddings | Graph Neural Networks | HNSW | Heterogeneous Retrieval | Information Retrieval | Java | Knowledge graphs | LLM Enhanced Retrieval | LSH | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Modal | Multi-Modal Learning | Natural Language | Natural Language Processing | Neural Networks | Python | Ranking | Recommendation Systems
Education
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