AI / Computer Vision Engineer

🕒 May 18

🇺🇸 United States – Remote

💵 $200.2k - $357.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

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Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

Enterprise • Transport • Security

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

• Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond • Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy • Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack • Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models • Stay at the frontier of CV and perception research and translate what matters into shipped product • Mentor and technically guide senior scientists and engineers across the team • Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges.

🎯 Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field. • 10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production. • Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments. • Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU). • Experience with transformer-based architectures and vision-language models (VLMs/VLAs). • Experience building and deploying real-time or edge ML systems optimized for low-latency inference. • Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale.

🏖️ Benefits

• Flexible, employee-led remote model • Professional development stipend • Comprehensive health and parental leave plans • Initial RSU grant with no vesting cliff • Ongoing refresh opportunities tied to performance