Lead Applied Scientist, Document Understanding
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Build document enrichment pipelines
- Build information extraction pipelines
- Create document intelligence for search and retrieval
- Design and deploy semantic chunking systems
- Design evaluation frameworks for document understanding
- Develop hierarchical and multi label document classification
- Develop knowledge graph construction systems
- Extract insights from tabular data
- Lead document analysis architecture decisions
- Mentor applied scientists and machine learning practitioners
Perks/Benefits
- Employee incentive programs
- Flexible vacation
- Headspace app
- Hybrid work model
- Mental health days
- Paid volunteer days
- Retirement savings
- Social impact opportunities
- Tuition reimbursement
- Tuition reimbursement resources
- Work-life balance flexibility
Skills/Tech-stack
Data Analysis | Document Classification | Entity Linking | Entity recognition | Evaluation | Information Extraction | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Named Entity Recognition | Natural Language | Natural Language Processing | RAG | Relation extraction | Retrieval-Augmented Generation | Semantic chunking | Tabular Data | Tabular Data Analysis | Taxonomies
Education
Roles
Applied Scientist | Lead | Lead Applied Scientist | Scientist
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