Applied AI Scientist (PhD Required)
Tasks
- Analyze data for patterns anomalies and data quality issues
- Collaborate with AI ML teams to improve models using feedback loops
- Design and maintain AI agents dashboards and reporting pipelines
- Partner with engineering and product teams to ensure data quality integrity
- Support data needs across product portfolio
- Translate quantitative findings into recommendations
Perks/Benefits
- Annual team events
- Flexible hours
- Internet reimbursement
- Opportunity for advancement
- Remote work environment
Skills/Tech-stack
Agent systems | Agentic Workflows | Anomaly Detection | Data Anomaly Detection | Data Quality | Hypothesis Testing | LLM Tools Integration | LLM tools | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Python | SQL | Statistical Analysis | Tools integration
Education
Roles
AI | AI Engineer | AI Scientist | Applied AI Scientist | Engineer | Scientist
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