Staff MLE - Supply Chain

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 against business KPIs.

You Seed Ai/ml Capabilities And Enable The Broader Organization

You establish foundations, set standards, and empower cross-functional teams to adopt data-driven decision making.

In This Role You Will

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

Minimum Requirements For The Role

Experience & Education

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

Core Ml & Technical Skills

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)

Mindset & Collaboration

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

An Ideal Candidate Also Has

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