About the Position

ML/AI - Supply Chain

Remote - US

Samsara's Mission

Improve the safety, efficiency, and sustainability of the operations that power the global economy.

Who We Are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, 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.

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.

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

Requirements

Core Skills

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 developing and 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).

Nice to Have

Deep Statistical Expertise: Able to design and validate experiments (A/B, multi-armed bandits) and apply Bayesian methods for uncertainty quantification.
Time-Series Mastery: Proven track record building advanced forecasting models (e.g., Prophet, LSTMs, Transformer-based) for intermittent demand and seasonal patterns.
Cost Optimization Mindset: Skilled in profiling ML workloads and driving down cloud/GPU spend through model compression (quantization, pruning) and serverless architectures.
Cross-Region Scaling: Demonstrated ability to deploy low-latency inference across multiple geographic regions with fail-over and disaster-recovery strategies.
Vendor & Open-Source Savvy: Experience evaluating and integrating third-party ML platforms and contributing to or leveraging relevant open-source projects.
Domain Expertise: Deep understanding of supply chain concepts (S&OP, IBP, safety stock, EOQ), ERP systems (SAP, NetSuite, E2DP, Propel), and inventory optimization theory. Ideal background in consumer electronics or B2B hardware manufacturing.

We Offer

Competitive Salary: Annual Base Salary $178,640-$319,000 USD.
Total Rewards: Performance-based bonus/variable pay, equity in a high-growth public company, and comprehensive health and parental leave plans.
Flexible Working: Embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements.
Belonging at Samsara: We welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.

About the Company

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

ML/AI - Supply Chain

Job description