[Remote] Senior Machine Learning Engineer - Platform

Note: The job is a remote job and is open to candidates in USA. Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data for actionable insights. The Senior Machine Learning Engineer will lead the architectural evolution of safety systems, building robust infrastructure for real-time decision-making from sensor data.ResponsibilitiesArchitect a Unified Perception Layer: Lead the transition from fragmented, task-specific models to a modular perception platform that supports reusable components and downstream safety applicationsSystem Design: Design and implement real-time ML systems—from sensor ingestion and tracking to risk reasoning and actuation—ensuring clear interfaces and predictable system behaviorHybrid Deployment: Orchestrate model integration across edge and cloud environments, managing versioning, rollouts, and mission-critical fallback mechanismsLatency Ownership: Own end-to-end latency and reliability for safety-critical pipelines. You will profile, schedule, and optimize messaging and backpressure across the entire stackObservability & Feedback Loops: Build sophisticated monitoring for deployed models to detect drift, false positives/negatives, and latency regressions. You will 'close the loop' to ensure production data informs the next iteration of trainingSafety Cases: Develop evaluation frameworks specifically for rare 'long-tail' safety events. You will define metrics and build targeted test sets that form the basis for principled ship/no-ship decisionsExplainability: Partner with Applied Scientists to ensure research outputs are translated into production code that is not only performant but also debuggable and explainableStrategic Influence: Shape the system abstractions early in the platform transition to minimize technical debt and maximize future scalabilityMentorship: Set the engineering standard for correctness and performance. You will mentor junior and mid-level engineers, fostering a culture of rigorous ML engineeringSkills6+ years of experience in ML Engineering, with a proven track record of shipping models in production (ideally in safety-critical domains like robotics, automotive, or industrial AI)Deep understanding of distributed systems, performance profiling, and computer visionExperience with Cloud ML workflows (AWS/GCP/Azure) and containerization, paired with an understanding of the constraints of edge hardwareYou don't just write code; you design systems. You understand the trade-offs between model complexity and operational reliabilityPh.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)Experience with containerization technologies (e.g., Docker, Kubernetes), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code (IaC) frameworksFamiliar with deploying and managing ML applications in cloud environments, as well as leveraging cloud-based services for data storage, processing, and inferenceExperience building end-to-end ML applications from scratchBenefitsInitial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditionsPerformance-based bonus/variable payEquity (for eligible roles) in a high-growth public companyA flexible, employee-led remote modelA professional development stipendComprehensive health and parental leave plansCompany OverviewSamsara is digitizing the world of physical operations. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.samsara.com.