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ML/AI - Supply Chain

Samsara· Operations Management
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Remote$178.6k - $319kFull-timePosted 4w ago

About the role

Samsara is building an AI/ML team within its Operations to make the supply chain AI native. The role involves designing, deploying, and scaling ML models across forecasting, inventory, supplier risk, and spend, with end-to-end ownership from modeling to MLOps in a remote US/Canada context.

Responsibilities

  • Define the end-to-end AI transformation roadmap for supply chain alongside the Senior Director of Supply Chain AI Transformation, aligning with company OKRs and executive stakeholders
  • Design, train, validate, and deploy ML models to production (demand forecasting, inventory optimization, supplier risk scoring, cellular spend prediction, HW cash flow), ensuring robust MLOps practices and measurable ROI
  • Build predictive models to forecast demand, inventory, lead times, and spend across Samsara's global supply network
  • Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL jobs to serve models and stakeholders
  • Deliver production-grade code that supports both batch and real-time inference with MLOps best practices
  • Act as the AI liaison to Product, Engineering, Procurement, and Finance—ensuring alignment on data requirements, integration, and change management
  • Drive enhancements to our data infrastructure and analytics platform to support real-time model training, monitoring, and inference at scale
  • Mentor junior scientists through code reviews and collaborative project work
  • Act as a key scientific voice in roadmap planning, experimentation frameworks, and modeling strategy discussions
  • Identify gaps in data, tools, and processes—and lead initiatives to close them
  • Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management
  • Partner with Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows
  • Champion Samsara's cultural principles as we scale globally

Qualifications

  • 8+ years in applied data science or ML, ideally in supply chain, operations research, logistics, or manufacturing
  • 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, causal inference
  • Strong Python coding skills and fluency in SQL; proven experience deploying production ML systems
  • Proficiency in MLOps practices: automated testing, CI/CD, model versioning, monitoring, performance tracking
  • Experience building real-time inference pipelines and managing GPU/TPU resources for training at scale
  • Familiar with data visualization tools (Tableau, Power BI) and cloud platforms (AWS, GCP, Azure)
  • Problem-solving, communication, and collaboration skills; ability to explain technical concepts to non-technical stakeholders
  • Track record of cross-functional collaboration and driving adoption of data-driven solutions
  • Domain expertise in supply chain concepts (S&OP, IBP, safety stock, EOQ) and ERP systems (SAP, NetSuite, E2DP, Propel)
  • Ideal background in consumer electronics or B2B hardware manufacturing

Skills

Required:Time series forecastingSQLPythonMLOpsReal-time inference
Last updated Oct 10, 2026. Interested? Apply on the company site.

About Samsara

Samsara | The Connected Operations Platform

Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.

Fleet TelematicsCameras and VideoDriver ExperienceSafety Reporting & InsightsEquipment ManagementIntegrated platformAI-powered analyticsFleet Intelligence
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