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  3. Staff Machine Learning Engineer - Edge AI
Samsara logo

Staff Machine Learning Engineer - Edge AI

Samsara
Remote
Internship
Posted November 27, 2025
$179k - $319k
Climate Technology
Remote
Apply Now

Application opens on company website

Job Description

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams.

Key Responsibilities

  • The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.
  • This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.
  • 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 (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) 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.
  • 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.
  • Proficiency in self-serving with data for experiments and model training at scale.
  • An established record of successful high impact deliveries in AI.
  • Deep knowledge in state of the art Computer Vision and multi-model models.
  • The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
  • Annual Base Salary
  • $178,640
  • —
  • $319,000 USD

Benefits & Perks

  • At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
  • Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Ready to Apply?

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