Applied Scientist, Document Understanding
United States of America, New York, New York
R
USD 136K-253K Mid-level Full Time
Tasks
- Apply knowledge distillation for model compression
- Build document enrichment systems
- Design evaluation frameworks for document understanding
- Design semantic chunking models
- Develop knowledge graph construction pipelines
- Drive technical decisions for chunking classification and extraction
- Extract and link citations entities and legal concepts
- Generate synthetic data for model training
- Partner with engineering on delivery reliability and scale
Perks/Benefits
- Access to Headspace app
- Continuous learning and development
- Employee assistance program
- Fitness reimbursement
- Flexible work life balance policies
- Hybrid work model
- Paid volunteer days off
- Retirement savings
- Tuition reimbursement
- Two mental health days off
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
Annotation | Citation Parsing | Data Generation | DeepSpeed | Document Layout Analysis | Document Understanding | Document layout | Entity Linking | Entity recognition | Evaluation | Few-Shot Learning | Few-shot | Information Extraction | Knowledge Distillation | Knowledge graphs | LLM | Layout analysis | Model Compression | Multi-document Reasoning | Multi-hop reasoning | Multi-label classification | Multi-task Learning | NLP | Post-training | PyTorch | Python | RAG | Relation extraction | Semantic chunking | Synthetic Data Generation | Synthetic data | Taxonomy Classification | Transformers
Education
Roles
Regions
Countries
States
Cities
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