Staff MLE - Supply Chain

Samsara

2d • $178,640 - $319,000 • Remote

About The Position

Samsara is building an AI/ML team within its Operations team to make its supply chain AI native. This role is for one of the first AI/ML engineers on this team. The company designs connected hardware (cameras, vehicle gateways, sensors), builds it with joint development manufacturing partners, and delivers it to tens of thousands of customers. The goal is to modernize internal operations with AI capabilities, moving away from manual processes. The engineer will work across various supply chain functions including fulfillment, inventory, returns, cash, planning, components, suppliers, and cost management. They will collaborate with Planning, Procurement, Fulfillment, Finance, Sales, and hardware, firmware, and quality engineering teams. The role involves designing, developing, and deploying advanced machine learning and statistical models to optimize the global supply chain, from demand forecasting to supply risk modeling using real-time IoT signals. This position offers a unique opportunity to work with extensive operational data, own the full stack of ML systems, tackle complex hardware supply chain challenges, and partner directly with executives. The role is remote and open to candidates in the US or Canada.

Requirements

• 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

Nice To Haves

• 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.

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

Benefits

• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles)
• Meaningfully differentiate pay for top performers
• RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior