Samsara

Staff Machine Learning Engineer focused on designing and implementing AI products on Edge devices, optimizing ML models for edge compute constraints, and working with large-scale sensor, diagnostic, video, and text data for industrial operations. The role involves both tactical solutions and strategic research, with a strong emphasis on production code delivery and cross-functional collaboration.

Staff ML Engineer focused on building and operating an end-to-end ML platform for industrial AI applications, covering training, experimentation, inference (cloud and edge), and deployment. The role emphasizes platform ownership, scalability, reliability, and enabling product teams to ship ML-powered features.

Senior Machine Learning Engineer to lead the architectural evolution of safety systems, moving from siloed models to a unified Perception Platform Layer. This role involves building robust infrastructure for real-time ML systems across cloud and edge, focusing on performance, reliability, and rigorous evaluation for safety-critical applications.

Senior Machine Learning Engineer to lead the architectural evolution of safety systems, moving from siloed models to a unified Perception Platform Layer. This role involves building robust infrastructure for real-time ML systems across cloud and edge, focusing on performance, reliability, and rigorous evaluation for safety-critical applications.

Senior Software Engineer II on the Operational Excellence (OPX) team within Developer Experience. This role focuses on building and improving platform capabilities, observability tooling, automated safeguards, and incident management tooling to ensure production health at scale. A key aspect involves contributing to AI-driven operational tooling for autonomous remediation and detection of issues.

This role focuses on building and scaling automation test frameworks for industrial IoT devices, with a specific emphasis on integrating AI tools to streamline development and testing workflows. The engineer will own automation as a product, drive technical vision, and bridge the gap between hardware and software for efficient, high-quality releases.