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Senior Applied Scientist

Samsara

full-remoteseniorpermanentdataother USA 31 days ago via Jobicy

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Tags

Machine LearningComputer VisionEdge AIModel OptimizationInferenceRetrainingPetabyte-Scale DataIoTVideo-Based SafetyCustomer-Centric Metrics

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