Sr. Staff Data & Applied Scientist, GenAI & Labeling Platforms
Palo Alto, CA, US; Remote, US
R
USD 195K-402K Senior-level Full Time
Tasks
- Build quality estimation and routing methods
- Create reusable scalable methods and frameworks
- Design measurement frameworks for model performance and workflow outcomes
- Develop prototypes for prompt optimization and task decomposition
- Drive GenAI labeling and evaluation research
- Establish trustworthiness standards including bias measurement calibration and quality control
- Evaluate operational tradeoffs and workflow results
- Identify opportunities for LLM improved labeling quality speed coverage cost
- Implement human-in-the-loop workflows
- Mentor scientists and provide technical leadership
- Partner with engineering product and data science to productionize solutions
Perks/Benefits
Skills/Tech-stack
Bias Measurement | Calibration | Experiment design | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | Python | Quality Control | Statistical Analysis | The Loop
Education
Regions
Countries
States
Cities
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