Senior Applied Scientist
Samsara
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About the role
Role Overview
Senior Applied Scientist on the Machine Learning / Computer Vision team. You will build end-to-end ML/CV applications that turn large-scale customer interactions and sensor/camera data into actionable insights across Samsara’s product pillars.
This is a remote role for candidates residing in the United States, with up to 5% travel. No relocation assistance is provided.
Responsibilities
- Build and improve the accuracy of ML / Computer Vision models, including retraining and optimization for Samsara-specific problems.
- Work with petabyte-scale data from Samsara cameras and sensors to develop new models.
- Optimize models for inference on backend services and/or edge devices.
- Partner with firmware and full-stack teams to deploy models for best performance and cost.
- Stay current with industry and academic research and adopt novel techniques where appropriate.
- Collaborate with product teams to translate customer needs into ML/CV solutions.
- Model and reinforce Samsara cultural principles (e.g., Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team).
Minimum Requirements
- BS or MS in Computer Science (or other technical degree)
- 5+ years of experience as an Applied Scientist, Machine Learning (sentence truncated in the provided text)
Nice-to-haves / Additional Signals
- Experience relevant to video-based safety and other connected-operations use cases (video safety, vehicle telematics, equipment monitoring, workforce apps/site visibility).
About Samsara
Samsara (NYSE: IOT) provides a Connected Operations Cloud that helps organizations using physical operations leverage IoT data to create actionable insights and improve day-to-day performance. Its platform supports safety, efficiency, and sustainability across industries such as agriculture, construction, field services, transportation, and manufacturing.
Scraped 8/23/2026