Staff Machine Learning Engineer

Job not on LinkedIn

🕒 November 27, 2025

🇺🇸 United States – Remote

💵 $165.2k - $295k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Samsara

WebsiteLinkedInAll Job Openings

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 design and implementation of critical AI product initiatives on Edge devices. • Develop both tactical AI solutions as well as more strategic and longer term research. • Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data. • Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices. • Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs. • Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices.

🎯 Requirements

• 8+ years experience as a Machine Learning Engineer. • Profound experience in optimizing ML models and systems for Edge compute constraints. • Proficient with Spark, Ray, or a similar framework. • Coding in python or similar. • Coding in C++ or Rust. • Strong functional knowledge of the iterative machine learning product development process. • Experienced in developing and shipping production code at large scale. • Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions. • Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge. • Experience coaching and mentoring ML Engineers.

🏖️ Benefits

• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.