Data Scientist II
Tasks
- Apply prompt engineering and fine-tuning
- Build offline and online evaluation frameworks
- Build retrieval and RAG architectures
- Create and maintain golden test datasets
- Design annotation guidelines and ensure label quality
- Develop NLP and LLM systems
- Document work and maintain knowledge artifacts
- Evaluate and iterate model performance
- Partner to deploy integrate and monitor ML systems
- Perform failure mode analysis
Perks/Benefits
- 401k matching
- Casual dress code
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee resource groups
- Free coffee bar
- Free parking
- Life insurance
- Medical insurance
- Onsite gym
- Paid Holidays
- Paid vacation
- Parental leave
- Referral program
- Relocation assistance
- Team events
- Vision insurance
- Wellness days
Skills/Tech-stack
Data Annotation | Data labeling | Fine Tuning | Hugging Face | Hugging Face Transformers | Information Extraction | Langchain | Langsmith | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Statistical Analysis | Text Classification
Education
Roles
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