Lead Data Scientist
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 and knowledge-graph features
- Integrate LLMs into retrieval pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
BM25 | C++ | Cold Start | Collaborative Filtering | Deep learning | Dense retrieval | Embeddings | Graph Algorithms | HNSW | Hybrid retrieval | Information Retrieval | Java | Knowledge graphs | LSH | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Python | Ranking Models | Recommendation Systems | Search Algorithms | Sequence Models | Taxonomy tagging | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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