Greenhouse ·
full-timeStaff MLE - Supply Chain
Samsara · Remote - US
Samsara provides an IoT‑based Connected Operations Cloud that connects hardware such as cameras, vehicle gateways and sensors to a platform used by industries like agriculture, construction, transportation and manufacturing to turn physical‑world data into operational insights. In this internship role you would join a newly formed AI/ML team inside Samsara’s Operations organization focused on making the supply chain AI‑native. Day‑to‑day work involves designing, developing and deploying machine learning and statistical models that forecast demand, model supply risk, optimize inventory and costs, and detect anomalies across the end‑to‑end supply chain — from fulfillment and procurement to returns and cost management. You would work closely with planning, procurement, finance, sales and hardware/firmware teams, handling the full modeling lifecycle including MLOps, deployment and monitoring. The role suits a deeply technical individual comfortable with ambiguity, who enjoys end‑to‑end ownership of ML solutions and has experience with forecasting, time‑series analysis, MLOps pipelines and working with large, heterogeneous data sets such as ERP logs, IoT telemetry and business systems.
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. About the role: Samsara is building an AI/ML team inside its Operations team to make our supply chain AI native. You would be one of its first AI/ML engineers. We design connected hardware (cameras, vehicle gateways, sensors), build it with joint development manufacturing partners, and deliver it to tens of thousands of customers in industries that keep the economy running. Every link in that chain often runs on emails, flat files and manual reconciliations. We are moving our internal operations into the future with modern AI capabilities. We expect you to work across the supply chain including fulfillment, inventory, returns, cash, planning, components, suppliers and cost management. You will partner directly with Planning, Procurement, Fulfillment, Finance, Sales, and the hardware, firmware and quality engineering teams. You'll design, develop, and deploy advanced machine learning and statistical models that optimize our global supply chain. From forecasting demand to modeling supply risk using real-time IoT signals, you'll apply cutting-edge techniques to solve complex problems with direct business impact. What makes this unique: 11 years of untapped operational data: ERP systems (e.g. NetSuite, e2open, Propel), IoT sensor streams, Salesforce, Slack, Gong call insights, and real-world hardware telemetry Own the full stack: Modeling, MLOps, deployment, monitoring—build production systems that drive real business decisions Real hardware supply chain: Complex multi-tier supplier networks, lead times, high-stakes NPI ramps Direct executive partnership: Collaborating cross-functionally with teams in Product, Engineering, Procurement, and Finance You'll shape the team's roadmap, scientific agenda, and modeling standards. Ideal for a deeply technical IC who thrives in ambiguity, thinks strategically, and enjoys end-to-end ownership. This is a remote role open to candidates residing in the US or Canada. Why this role matters: Real-world impact at massive scale: Your models will help prevent supply shortages for customers in construction, utilities, transportation, and public safety —industries that literally keep the world running. Optimize inventory for hardware deployed across 98% of US roads and 70+ billion miles driven annually. Drive sustainability initiatives by reducing waste and improving supply chain efficiency across global operations. Unique technical challenges: Build demand, inventory and cost forecasting systems for highly variable, seasonal SKUs with intermittent patterns and long lead times. Model supplier risk using real-time IoT telemetry, geopolitical signals, and market data —not just historical sales. Design cost optimization algorithms balancing inventory carrying costs, expedite fees, and revenue risk across multiple regions. Create anomaly detection systems for cellular connectivity spend and supply chain disruptions using multimodal data. A data playground unlike any other: Access to 10+ trillion data points annually from connected operations. Work with ERP data, IoT sensor streams, third-party market intelligence, and operational metrics. Build features from unique real-world signals —vehicle diagnostics, utilization patterns, failure modes. 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
| Role | ML/AI - Supply Chain |
|---|---|
| Company | Samsara |
| Location | Remote - US |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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