AI Cold Chain Monitoring Engineer

About the role

Responsibilities

• Build ML models for cold chain temperature excursion classification and severity scoring
• Design features from IoT sensor time series data for alert prediction
• Reduce false positive alert rate from 83% to under 30%
• Implement real-time scoring of incoming sensor events at 6,000+ active shipments
• Build monitoring dashboards for model accuracy and alert action rates
• Collaborate with logistics specialists to calibrate model thresholds

Requirements

• 3+ years in anomaly detection, time series analysis, or IoT data systems
• Strong Python and SQL skills for data pipeline development
• Experience with streaming or near-real-time data processing
• Understanding of precision-recall trade-offs in alert classification
• Ability to work with domain experts to define actionability ground truth

Benefits

• Fully remote with flexible schedule
• Health, dental, and vision insurance
• 401(k) with match
• $2,500 professional development fund
• Quarterly team events

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