Data Scientist II
Tasks
- Analyze conversational datasets to improve retrieval augmented generation systems
- Build experimentation frameworks for evaluating non deterministic model outputs
- Create evaluation and experimentation capabilities for model behavior
- Deploy generative AI and LLM solutions into production
- Develop prompting and orchestration strategies for large language models
- Optimize LLM inference and retrieval pipelines
- Present research findings to inform product and business strategy
- Propose plan and execute applied research initiatives for conversational AI
Perks/Benefits
- 401k retirement plan
- Employee Assistance Program (EAP)
- Employee stock purchase program
- Flexible remote work
- HSA FSA plans
- Medical/Dental/Vision insurance
- Paid public holidays
- Paid time off
- Parental leave
- Professional development resources
Skills/Tech-stack
Attention Mechanisms | Chain-of-Thought | Context windows | Few-Shot Prompting | Few-shot | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Tokenization | Transformer Architecture | Vector Databases
Education
Roles
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