Lead Applied Scientist, Search - NLP/GenAI
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Apply training methodologies balancing performance and latency
- Build document enrichment with taxonomies
- Create scalable synthetic data generation systems
- Define evaluation strategies using expert annotation and synthetic data
- Design annotation workflows and evaluation frameworks
- Design build test and deploy semantic chunking systems
- Determine architectures balancing accuracy efficiency and scalability
- Develop LLM based knowledge graph construction pipelines
- Lead end to end AI solutions for document understanding
- Lead entity recognition linking and relation extraction pipelines
- Lead knowledge distillation to compress models for production
- Make technical decisions for semantic chunking and classification
- Mentor and coach team members
Perks/Benefits
- Flexible vacation
- Headspace app access
- Hybrid work model
- Mental health days
- Retirement savings
- Tuition reimbursement
- Two paid volunteer days off annually
- Work from anywhere up to 8 weeks per year
- Work-life balance policies
Skills/Tech-stack
Citation Parsing | Data Augmentation | Data Generation | Deep learning | DeepSpeed | Document Understanding | Efficiency optimization | Entity Linking | Entity recognition | Few-Shot Learning | Few-shot | Hugging Face | Hugging Face Transformers | Information Extraction | Knowledge Distillation | Knowledge graphs | Language Models | Language Processing | Large Language Models | Model Compression | Model Efficiency | Model Efficiency Optimization | Multi-task Learning | Natural Language | Natural Language Processing | PyTorch | Python | Query generation | Relation extraction | Semantic chunking | Synthetic Data Generation | Synthetic Query Generation | Synthetic data
Education
Roles
Applied Scientist | Lead | Lead Applied Scientist | Scientist
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