Staff Machine Learning Engineer, Traffic Intelligence
Tasks
- Architect traffic classification ML systems
- Balance inference cost and model value
- Build offline data pipelines
- Build offline to online data pipelines
- Communicate model trade offs to leadership
- Create certified source of truth datasets
- Deploy models in real-time
- Design evaluation frameworks
- Implement leakage prevention checks
- Integrate scoring into mitigation workflows
- Maintain fail open behaviors
- Mentor engineers on ML quality
- Optimize model inference latency
- Own traffic scoring model lifecycle
- Partner with security analysts on mitigation
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian Calibration | Bayesian Inference | Calibration | Causal Inference | Data Pipelines | Econometrics | Feature Engineering | Fraud Detection | Graph Algorithms | Graph Neural Networks | Graph analytics | LLM Benchmarking | Machine Learning | Neural Networks | Precision-recall | Python | ROC-AUC | SQL | Sybil Detection
Education
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