Machine Learning Engineer - 1
Hybrid - San Mateo, California
R
USD 130K-228K (estimate) None Full Time
Tasks
- Build NLP pipelines for entity extraction and classification
- Build data pipelines for training and evaluation
- Build document extraction systems from PDFs and spec sheets
- Build evaluation frameworks for search and extraction
- Build hybrid search systems
- Create clean labeled datasets
- Debug model behavior and errors
- Deploy ML solutions in production
- Develop RAG pipelines for domain information retrieval
- Develop recommendation models
- Implement retrieval ranking and reranking approaches
- Improve search relevance with vector embeddings
- Instrument models with metrics and monitoring
Perks/Benefits
- Equity options
- Flexible-hybrid work
- Medical, dental & vision coverage
- Professional development budget
- Team offsites
- Unlimited PTO
Skills/Tech-stack
CNN | Cross-validation | Data Pipelines | Deep learning | Document processing | Embeddings | Evaluation metrics | Git | Information Retrieval | LLM | MRR | Machine Learning | Metrics | Model Monitoring | NDCG | NLP | NLP Pipelines | NumPy | OCR | PDF Parsing | Pandas | Precision at K | Prompt engineering | PyTorch | Python | RAG | Regularization | Retrieval ranking | Scikit-learn | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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