Senior Data Scientist
Tasks
- Build embeddings and relevance signals
- Build personalized ranking layers
- Design retrieval pipelines
- Develop deep ranking models
- Engineer recommendation algorithms
- Improve multimodal embedding quality
- Incorporate metadata taxonomy and knowledge graph features
- Integrate LLMs into retrieval and ranking
Perks/Benefits
- N/A
Skills/Tech-stack
BM25 | C++ | Collaborative Filtering | Computer Vision | Deep learning | Dense vectors | Embeddings | Generative Retrieval | Graph Based Methods | Graph-based | HNSW | Information Retrieval | Java | Knowledge graphs | LLM | LLM retrieval | LSH | Language Processing | Machine Learning | Multi-task Learning | Multimodal Learning | Natural Language | Natural Language Processing | Python | Recommendation Systems | Search & Ranking | Sequence Models | Taxonomy
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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