Lead Applied Scientist, Document Understanding
United States of America, New York, New York
R
USD 147K-274K Senior-level Full Time
Tasks
- Build document enrichment systems using taxonomies
- Design evaluation frameworks with expert annotation and synthetic data
- Design semantic chunking models for legal documents
- Develop LLM based knowledge graph construction pipelines
- Lead model knowledge distillation for latency constraints
- Mentor applied scientists and ML practitioners
- Own architecture and strategy for knowledge extraction
- Partner with engineering on delivery reliability and scale
Perks/Benefits
- Flexible vacation
- Flexible work arrangements
- Mental health days
- Retirement savings
- Tuition reimbursement
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
Citation Parsing | Data Generation | DeepSpeed | Document Layout Analysis | Document layout | Entity Linking | Entity recognition | Evaluation Frameworks | Few-Shot Learning | Few-shot | Graph construction | Hugging Face | Hugging Face Transformers | Information Extraction | Knowledge Distillation | Knowledge Graph Construction | Knowledge graph | LLM | Layout analysis | Model Compression | Multi-label classification | Multi-task Learning | PyTorch | Python | Relation extraction | Semantic chunking | Synthetic Data Generation | Synthetic data | Taxonomy design
Education
Roles
Applied Scientist | Lead | Lead Applied Scientist | Scientist
Regions
Countries
States
Cities
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