Job Specifications
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 the industry leader in AI for physical operations.
We’re hiring a founding Machine Learning Engineer to join a growing Product ML organization at Samsara. This role pairs hands‑on ML systems work with product impact - you’ll design and ship customer‑facing ML features (including anomaly detection, crash‑risk scoring, predictive maintenance and more) using multimodal vehicle and telematics data. You’ll own architectural decisions (online serving, streaming/batch pipelines, features & infra tradeoffs) and partner closely with applied scientists to turn models into actionable products. Compensation bands are flexible for strong candidates; this is an opportunity to shape the MLE function and grow a team.
This is a remote position open to candidates residing in the United States.
You should apply if:
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.
In this role, you will:
Founding impact & scope: Be the first dedicated MLE in a product‑ML org - influence architecture, launch production ML products, and define how MLEs partner with applied scientists across ~30 people in the broader data organization.
High‑value, real‑world domain: Work on customer‑facing systems (crash risk, anomaly detection, predictive maintenance) using rich GPS/IMU/telemetry, fleet video, and maintenance logs - models that directly reduce risk, saving lives and operational costs.
Systems + product blend: Role includes ML infrastructure (feature design, online serving, batch & streaming pipelines) and product ownership - not just productionizing models but owning end‑to‑end decisions and tradeoffs.
Room to grow & experiment: The team encourages prototyping (including GenAI/CV layers where appropriate), and the hiring manager is open to shaping the role to include modeling ownership or team expansion for senior candidates.
Minimum requirements for the role:
5+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role.
BS or MS in Computer Science or another quantitative field.
Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang).
Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark).
A working understanding of the algorithms you will bring to life.
Proven experience with the E2E ML application development.
An ideal candidate also has:
Experience leading a small cross-functional team to deliver new ML experiences.
Experience building zero-to-one ML applications.
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 i
About the Company
Samsara 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. With tens of thousands of customers across North America and Europe, Samsara is a proud technology partner to the people who keep our global economy running, including the world’s leading organizations across construction, transportation and warehousing, field services, manufacturing, r...
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