Senior Applied Scientist, Search - NLP/GenAI
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Apply knowledge distillation
- Build document enrichment systems
- Create knowledge graph construction pipelines
- Design multi document reasoning architectures
- Design/build/test/deploy AI solutions
- Determine model architectures for document understanding
- Develop LLM information extraction methods
- Develop data evaluation strategies
- Develop document classification approaches
- Develop semantic chunking models
- Extract and link legal knowledge
- Generate synthetic data for model training
- Maintain scientific and technical expertise
- Optimize model performance and latency
- Partner with engineering and product teams
Perks/Benefits
- Employee incentive programs
- Flexible vacation
- Flexible work schedule
- Headspace app access
- Hybrid work
- Mental health days
- Retirement savings
- Tuition reimbursement
- Volunteer days off
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
Citation Parsing | Data Annotation | Data Augmentation | Data Generation | DeepSpeed | Document Understanding | Entity Linking | Entity recognition | Few-Shot Learning | Few-shot | Hierarchical Taxonomies | Hugging Face | Hugging Face Transformers | Imbalanced multi-label classification | Information Extraction | Knowledge Distillation | Knowledge graphs | Language Models | Language Processing | Large Language Models | Model Compression | Model Evaluation | Multi-label classification | Multi-task Learning | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Query Answer Generation | Relation extraction | SLM | Semantic chunking | Synthetic Data Generation | Synthetic data
Education
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