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Senior Software Engineer - Safety Detection Precision

Samsara - London, United Kingdom - In-office - posted 2026-06-23

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Samsara is a publicly traded (NYSE: IOT) Connected Operations Cloud platform that helps organizations in physical operations—agriculture, construction, field services, transportation, manufacturing—harness IoT data to improve safety, efficiency, and sustainability. The company serves industries representing over 40% of global GDP. As a Senior Software Engineer on the Safety Detection Precision team, you will build and evolve core systems that review AI-detected safety events and determine which are surfaced to customers. The role sits at the intersection of backend systems, data, and AI-driven decisioning. You'll develop intelligent approaches to identify ambiguous cases, deflect low-value reviews, and automate triage where confidence is high—directly improving both customer-facing product quality and internal review efficiency. Key responsibilities include: - Building and maintaining systems that review safety detections and manage event surfacing - Improving detection precision through intelligent case identification and automated triage - Working across backend, data, and AI/ML infrastructure to enhance model feedback loops - Owning complex projects end-to-end: design, implementation, rollout, measurement, and iteration - Using modern AI-assisted engineering workflows to accelerate development while maintaining strong engineering judgment and code quality - Raising the bar for quality, operability, and engineering clarity across the Safety platform - Partnering closely with product, design, and ML infrastructure teams You should have 4+ years of software development experience, primarily in backend or distributed systems. You need demonstrable focus on customer experience, strong programming fundamentals in a modern language, and experience designing large-scale, high-throughput systems. The role requires an AI-first mindset—consistently using modern AI coding tools to improve efficiency while applying strong judgment to validate outputs. Experience in data-driven environments and strong cross-functional communication skills are essential.

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