Staff MLE - Supply Chain

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

You should apply if:

• You are motivated by impact: Your work will drive smarter, faster, more sustainable supply chain decisions across Samsara's operations.
• You combine scientific rigor with real-world pragmatism: You're skilled at navigating trade-offs between model complexity, performance, and maintainability.
• You want to work on hard problems: You'll tackle forecasting volatility, cost optimization, anomaly detection, and more using large, noisy, high-dimensional datasets.
• You are a self-directed leader: You identify analytical white space, set multi-quarter plans, and mentor others through influence.
• You enjoy building models that matter: Your solutions will be deployed in production, drive decisions, and be regularly evaluated against business KPIs.
• You seed AI/ML capabilities and enable the broader organization: You establish foundations, set standards, and empower cross-functional teams to adopt data-driven decision making.

In this role you will:

• 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 (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally

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