Machine Learning for Supply Chain

Confirmed live in the last 24 hours

Samsara

Compensation

$170,170 - $257,400/year

Remote - US

Hybrid

Posted April 13, 2026

Job Description

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:

This is a founding AI/ML role in Samsara's Supply Chain organization—a rare 0-to-1 opportunity to build AI/ML capabilities from the ground up and own demand forecasting, inventory optimization, and supplier risk modeling end-to-end.

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, E2DP, 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: Report to our SVP of Operations, 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 role is open to candidates residing in the US & Canada.

Why this role matters:

Real-world impact at massive scale:

Your forecasting 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 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<