Applied Scientist, Search
Tasks
- Apply training and evaluation methodologies for latency and model compression
- Build document enrichment systems for taxonomies and metadata extraction
- Collaborate with engineering to deliver reliable software at scale
- Create LLM based knowledge graph construction pipelines
- Create knowledge distillation pipelines for SLM deployment
- Design annotation workflows and evaluation frameworks
- Design build test and deploy AI solutions for document understanding tasks
- Determine AI architectures for semantic chunking document classification and knowledge extraction
- Develop data and evaluation strategies with human annotation and synthetic data
- Develop semantic chunking models for legal documents
- Generate synthetic data for model training and evaluation
Perks/Benefits
- Flexible vacation
- Flexible work life balance policies
- Headspace app access
- Hybrid work model
- Mental health days
- Paid volunteer days off
- Retirement savings
- Tuition reimbursement
- Volunteer opportunities
- Work from anywhere up to 8 weeks per year
Skills/Tech-stack
Citation Recognition | Data Generation | DeepSpeed | Document Classification | Document Layout Analysis | Document layout | Entity recognition | Hugging Face | Hugging Face Transformers | Imbalanced classification | Information Extraction | Knowledge Distillation | Knowledge graphs | Language Models | Large Language Models | Layout analysis | Multi-label classification | NLP | PyTorch | Python | Semantic chunking | Synthetic Data Generation | Synthetic data | Taxonomies
Education
Roles
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