Senior Manager, Safety AI

🕒 April 6

🇺🇸 United States – Remote

💵 $178.6k - $287.1k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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Logo of Samsara

Samsara

1001 - 5000 employees

Founded 2015

📦 Logistics

🏗️ Construction

🏥 Healthcare

💰 Seed Round on 2014-08

Logistics • Construction • Healthcare

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• Lead teams of scientists and engineers working on computer vision, sensor fusion, and machine learning • Architect, build, and improve hybrid cloud-edge machine learning solutions • Contribute to the roadmap for Samsara’s AI products • Stay connected to industry and academic research and adopt suitable novel technology • Champion and embed Samsara’s cultural principles as the company scales globally • Hire, develop, and lead an inclusive, engaged, high-performing team • Own the machine-learning model lifecycle across edge and cloud, including data curation, training, evaluation, deployment, monitoring, and iteration • Partner with firmware, full-stack, and Platform teams to ship reliable, low-latency safety features • Develop AI capabilities for Samsara’s AI dash cameras that detect and surface actionable driver-safety events and risk signals

🎯 Requirements

• BS or MS in Computer Science or another technical degree • 7+ years of relevant technical experience with AI systems • 6+ years of relevant software engineering work experience • 5+ years leading large software and science teams, including senior individual contributors • Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement • Comfortable leading full-stack/backend development in addition to science and research • Ideal candidates may have an MS or PhD in Computer Science or another technical degree • Proven track record of innovation and delivering customer value using AI • Experience building, deploying, and optimizing AI systems spanning edge devices and the cloud • Experience building products and solutions relying on computer vision or sensor fusion • Willingness to travel up to 5% of the time • Must reside in the United States, excluding the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area • Relocation assistance will not be provided

🏖️ Benefits

• Initial RSU grant with no vesting cliff • Ongoing equity refresh opportunities tied to performance • Performance-based bonus/variable pay • Flexible, employee-led remote model • Professional development stipend • Comprehensive health plans • Parental leave plans • Above-market total compensation opportunities

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