About the Job
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 a...
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 ...
Key Responsibilities
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.
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.
Required Skills & Abilities
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)
Passion for operational excellence, cost efficiency, and scalable solutions
Builder mindset, with a track record of taking products or systems from 0 to 1.
Exceptional problem-solving, critical thinking, and communication skills—able to explain complex technical concepts to non-technical stakeholders
Track record of collaborating cross-functionally and driving adoption of data-driven solutions
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.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Annual Base Salary
$178,640—$319,000 USD
Total Rewards
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.
Flexible Working
At Samsara, we 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. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment
