W2 role and preferred local to CA
Position: Data Science Data Scientist / NLP Engineer / Search Relevance Engineer
Location: Bay Area CA
Requirement:
We are hiring multiple Data Science professionals for enterprise-scale search NLP recommendation and relevance engineering initiatives. Candidates should have strong Python expertise with hands-on experience in NLP semantic search machine learning data engineering and large-scale model evaluation. The ideal candidate will work on query understanding intent classification vector search ranking/relevance optimization and search feature engineering for high-volume platforms.
Required Skills: - Strong Python programming experience
- NLP experience using HuggingFace spaCy Transformers BERT FastText
- Semantic matching query-product relevance modeling intent classification entity recognition
- PyTorch Sentence-BERT Bi-Encoder model training
- Data engineering with PySpark Dataflow BigQuery
- Vector search/indexing experience with FAISS or HNSW
- NLP model evaluation metrics such as nDCG MRR A/B testing
- Feature store experience: Feast Tecton Cassandra
- GCP/cloud platform experience preferred
Nice to Have: - Query normalization spell correction typeahead/search optimization
- ESCI relevance labeling and ANN recall tuning
- Category classification attribute understanding brand synonym modeling
- Prior e-commerce search or search relevance experience
W2 role and preferred local to CA Position: Data Science Data Scientist / NLP Engineer / Search Relevance Engineer Location: Bay Area CA Requirement: We are hiring multiple Data Science professionals for enterprise-scale search NLP recommendation and relevance engineering initiatives. Candi...
W2 role and preferred local to CA
Position: Data Science Data Scientist / NLP Engineer / Search Relevance Engineer
Location: Bay Area CA
Requirement:
We are hiring multiple Data Science professionals for enterprise-scale search NLP recommendation and relevance engineering initiatives. Candidates should have strong Python expertise with hands-on experience in NLP semantic search machine learning data engineering and large-scale model evaluation. The ideal candidate will work on query understanding intent classification vector search ranking/relevance optimization and search feature engineering for high-volume platforms.
Required Skills: - Strong Python programming experience
- NLP experience using HuggingFace spaCy Transformers BERT FastText
- Semantic matching query-product relevance modeling intent classification entity recognition
- PyTorch Sentence-BERT Bi-Encoder model training
- Data engineering with PySpark Dataflow BigQuery
- Vector search/indexing experience with FAISS or HNSW
- NLP model evaluation metrics such as nDCG MRR A/B testing
- Feature store experience: Feast Tecton Cassandra
- GCP/cloud platform experience preferred
Nice to Have: - Query normalization spell correction typeahead/search optimization
- ESCI relevance labeling and ANN recall tuning
- Category classification attribute understanding brand synonym modeling
- Prior e-commerce search or search relevance experience
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