Machine Learning Engineer – Search & Retrieval Systems
Tasks
- Build and evolve hybrid search pipeline
- Build offline evaluation pipelines
- Deploy ranking and retrieval models
- Design business ordering layer
- Develop learning to rank system
- Evaluate experiments and run A B tests
- Instrument search feedback loop
- Integrate behavioral signals into ranking
- Integrate query understanding outputs into retrieval
- Monitor data quality and index management
- Productionize offline enrichment pipeline
- Train adaptive retrieval models
Perks/Benefits
- 401k plan
- Company holidays
- Equity stock options
- Flexible PTO
- Fully remote United States
- Medical, dental & vision coverage
- Team offsites and gatherings
Skills/Tech-stack
A/B | A/B Testing | ANN indexing | B testing | CTR | Data Quality | Data quality monitoring | Dense retrieval | Elasticsearch | Embedding Fine Tuning | Feature Engineering | Fine Tuning | Lambdamart | Learning-to-Rank | LightGBM | MRR | NDCG | ONNX | OpenSearch | Precision Recall at K | Precision-recall | Python | Quality monitoring | Recall at K | Reciprocal Rank Fusion | Solr | Vector Search | Vespa | XGBoost
Education
N/A
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