Principal Machine Learning Engineer
Tasks
- Align ML roadmap with business value
- Apply statistical and causal inference methods
- Architect real-time personalization systems
- Build systems to act on underperformance
- Define technical direction and best practices
- Design user reward schemes at scale
- Detect and diagnose underperforming campaigns
- Own end to end delivery of ML systems
- Partner with product and engineering leadership on priorities
- Run experimentation and experimentation analysis
Perks/Benefits
Skills/Tech-stack
Causal Inference | Cloud Computing | Experimentation | Machine Learning | Personalization | Python | Real Time | Real-time Systems | SQL | Statistical Analysis | Time Series | Time Systems
Education
N/A
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