Staff MLE - Supply Chain

📋 Description

• Define the end-to-end AI transformation roadmap for supply chain alongside the Senior Director of
• Design, train, validate, and deploy ML models to production (demand forecasting, inventory
• Build predictive models to forecast demand, inventory, lead times, and spend across Samsara's
• Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL
• Deliver production-grade code that supports both batch and real-time inference with MLOps best
• Act as the AI liaison to Product, Engineering, Procurement, and Finance—ensuring alignment on data

🎯 Requirements

• 8+ years in applied data science or ML, ideally in supply chain, operations research, logistics, or
• Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or related technical field
• Expert in statistical modeling and ML: time series forecasting, optimization, anomaly detection
• Strong Python coding skills and fluency in SQL; proven experience developing and deploying
• Proficiency in MLOps practices: automated testing, CI/CD, model versioning, monitoring, performance
• Experience building real-time inference pipelines and managing GPU/TPU resources for training at

🎁 Benefits

• Above-market total compensation through a combination of base salary, performance-based
• Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance
• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Flexible working model (on-site, hybrid, or fully remote)