Lead ML infrastructure architecture remotely from the United States, using Ray, Kubernetes, and cloud-to-edge deployment at Samsara. Shape platforms serving millions of devices.
As Samsara’s technical anchor for Safety AI, you will own training, experimentation, inference, and edge deployment. You will guide platform direction across applied ML, firmware, security, and data platform teams. The scope may align with Staff, Senior Staff, or Principal experience, based on demonstrated ownership.
Key Responsibilities
Set strategy and delivery for Samsara’s end-to-end ML platformDesign scalable Ray and Spark inference systemsDeploy validated models to Samsara devicesOwn reliability, observability, security, and incident responseMentor engineers and scientists across Safety AIRequirements: 10+ years in machine learning engineeringTech lead ownership across two major ML platform domainsProduction expertise with Ray and KubernetesDeep knowledge of evaluation, datasets, ablation, and driftCross-organization leadership on platform trade-offsBring end-to-end ML platform ownership, technical leadership, and production expertise to Samsara’s Safety AI infrastructure. #J-18808-Ljbffr