Sr. Applied AI Scientist
Tasks
- Analyze user behaviors and engagement
- Analyze user request patterns
- Build evaluation frameworks for AI quality
- Cluster and classify traces
- Design and analyze A/B tests
- Develop data pipelines and evaluation tools
- Identify high-demand use cases
- Optimize user funnels and retention
- Track quality and latency metrics
- Transform AI interaction data into insights
Perks/Benefits
- Collaborative culture
- Continuous improvement
- Fast delivery
- Innovation
- Learning opportunities
- Ownership and responsibility
- Team care
- User-centric focus
Skills/Tech-stack
A/B | A/B Testing | AI Model Evaluation | AI Products | Analytics | Automation Scripting | B testing | Communication skills | Data Analysis | Data Pipelines | Data Preparation | Data Visualization | Evaluation Frameworks | Experimental Design | Language Models | Large Language Models | Machine Learning | Model Evaluation | Performance Monitoring | Prompt engineering | Python | SQL | Stakeholder Reporting | Statistical Analysis
Education
Bachelor's Degree in Computer Science | Data Science | Engineering | Statistics
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