Lead Machine Learning Engineer - ML Infrastructure

About the role

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. 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 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: ML Platform & Infrastructure Set the technical strategy and own end-to-end delivery of Samsara's ML platform (training, experimentation, batch/online inference, edge) - making architectural decisions and being the accountability point across all platform layers for multiple Safety AI product teams. Experimentation & Measurement Drive the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-based reporting) - not just enabling others to ship, but co-owning outcomes including safety metrics, reliability, and cost at production scale. Inference & Edge Deployment Design and operate scalable online and batch inference systems (Ray, Spark), including deployment patterns, observability, SLOs, and unified training-to-production workflows. Partner with firmware and edge teams to package, validate, and deploy models to Samsara devices , and build feedback loops from edge to cloud for continuous improvement. Reliability, Security & Operations Own reliability, observability, and security for ML systems across cloud and edge, including on-call practices, incident response, and infrastructure hardening. Own or co-own end-to-end technical delivery for high-priority or high-risk initiatives, from modeling and system design through production rollout. Leadership & Culture Be the technical authority for ML infrastructure architecture across Safety AI - setting direction that cross-functional teams (applied ML, firmware, security, data platform) execute against, mentoring senior engineers and applied scientis

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