Lead Applied Scientist, Document Understanding
United States of America, New York, New York
R
USD 140K-274K Senior-level Full Time
Tasks
- Build document enrichment systems
- Design and deploy semantic chunking models
- Design evaluation frameworks for document understanding
- Develop LLM based knowledge graph construction pipelines
- Lead knowledge distillation to create SLMs
- Mentor applied scientists and ML practitioners
- Own architecture and knowledge extraction methods
- Partner with engineering on delivery reliability and scale
- Provide AI strategy input to leadership
Perks/Benefits
- Fitness reimbursement
- Flexible work schedule
- Headspace app access
- Mental health days off
- Retirement savings
- Tuition reimbursement
- Volunteer days off
- Work from anywhere
Skills/Tech-stack
Citation Parsing | Data Generation | DeepSpeed | Document Classification | Document Layout Analysis | Document layout | Entity Linking | Entity recognition | Evaluation Frameworks | Few-Shot Learning | Few-shot | Hugging Face | Hugging Face Transformers | Information Extraction | Knowledge Distillation | Knowledge graphs | LLM | Layout analysis | Model Compression | Multi-task Learning | NLP | Named Entity Recognition | Post-training | PyTorch | Python | Relation extraction | Semantic chunking | Synthetic Data Generation | Synthetic data | Taxonomy design
Education
Regions
Countries
States
Cities
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