Lead Machine Learning Engineer - ML Infrastructure

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, an IoT platform that enables organizations to harness data from physical operations to improve safety, efficiency, and sustainability.

We are 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; you are the technical lead.

• Set the technical strategy and own end-to-end delivery of Samsara's ML platform (training, experimentation, batch/online inference, edge).
• Drive the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-based reporting).
• Design and operate scalable online and batch inference systems (Ray, Spark), including deployment patterns, observability, SLOs, and unified training-to-production workflows.
• Own reliability, observability, and security for ML systems across cloud and edge.
• Be the technical authority for ML infrastructure architecture across Safety AI, mentoring senior engineers and applied scientists.

• 10+ years in machine learning engineering, with demonstrated tech lead ownership of at least two major ML platform domains.
• Hands-on Ray and Kubernetes expertise in production environments; Spark experience strongly preferred.
• Deep understanding of ML fundamentals: evaluation methodology, dataset design, ablation, drift.
• Demonstrated cross-org technical leadership around platform decisions.

Annual base salary: $196,000—$269,500 CAD. Eligible for initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance.

Flexible, employee-led remote model, professional development stipend, comprehensive health and parental leave plans, and more.

Apply via the provided link.