Data Scientist II
Tasks
- Analyze conversational datasets for RAG optimization
- Deploy GenAI and LLM solutions with engineering teams
- Design and implement prompting and orchestration strategies
- Develop experimentation frameworks for non deterministic model outputs
- Evaluate model behavior and context efficacy
- Optimize LLM inference and retrieval pipelines
- Present research findings to inform product and business strategy
- Propose and execute applied research with Large Language Models
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Employee stock purchase program
- FSA
- Flexible paid time off
- HSA
- Health insurance
- Paid public holidays
- Parental leave
- Remote work
- Vision insurance
Skills/Tech-stack
Attention Mechanisms | Chain-of-Thought | Embeddings | Few-Shot Prompting | Few-shot | LLM orchestration | LLM orchestration frameworks | Langchain | Langgraph | Language Models | Large Language Models | Orchestration frameworks | Prompt engineering | Prompt orchestration) | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Tokenization | Transformer Architecture | Vector Databases
Education
Roles
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