Lead Machine Learning Engineer - ML Infrastructure

About the role:

Samsara is the industry leader in AI for physical operations.

We're hiring a Lead Machine Learning Infrastructure Engineer to serve as the technical anchor for ML infrastructure across Samsara's Safety AI organization. You will own the architecture and evolution of our end-to-end ML platform — spanning training, experimentation, inference, and edge deployment across more than 2M deployed devices — and be the connective tissue between applied ML teams, security, and data platform. This role is not an execution role sitting under a technical lead; you are the technical lead. Your decisions shape platform direction, unblock multiple product teams, and translate directly into real-world safety outcomes for the industries that run our world.

We are open to calibrating this role at Staff, Senior Staff, or Principal level depending on the candidate's scope of experience — what matters most is end-to-end platform ownership and the ability to operate as the technical anchor for the organization.

This is a remote position open to candidates based 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 directly impact their safety and efficiency.