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Staff Machine Learning Engineer - Edge AI

Samsara
Remote - USUpdated 2d ago
Base salary
$179k–$319k
Published base salary range
Location
Remote - US
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
B2B SaaS
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About the job

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data. The Samsara AI team builds end-to-end AI solutions and core ML infrastructure. As a Staff Machine Learning Engineer, you will work with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers globally.

Responsibilities

  • Lead design and implementation of critical AI product initiatives on Edge devices.
  • Develop both tactical AI solutions and strategic long-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 ML model performance on edge devices.
  • Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.

Minimum 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.
  • Experience coaching and mentoring ML Engineers.

Compensation

Annual base salary range: $178,640—$319,000 USD. Eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance.

Benefits

Performance-based bonus/variable pay, equity, professional development stipend, comprehensive health and parental leave plans, and a flexible remote model.

This is a remote position open to candidates residing in the United States. Travel up to 5% of the time. Relocation assistance will not be provided.

Skills & tags

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