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Staff Machine Learning Engineer - Edge AI

Samsara
Remote - CanadaUpdated 2d ago
Base salary
$170k–$234k
Published base salary range
Location
Remote - Canada
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
B2B SaaS
Apply on samsara.com
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About the job

Company

Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform that helps organizations harness IoT data to improve safety, efficiency, and sustainability of physical operations.

Role

Staff Machine Learning Engineer - Edge AI. You will lead design and implementation of critical AI product initiatives on Edge devices, work with petabyte-scale data, and partner across business units to optimize ML model performance on edge devices.

Responsibilities

  • Lead design and implementation of critical AI product initiatives on Edge devices.
  • Develop tactical and strategic AI solutions.
  • Work with petabyte-scale data from customer operations.
  • Partner across business units to explore and prototype new AI experiences.
  • Stay connected to industry and academic research.

Qualifications

  • 8+ years experience as a Machine Learning Engineer.
  • Experience optimizing ML models for Edge compute constraints.
  • Coding in Python or similar, and C++ or Rust.
  • Strong functional knowledge of iterative ML product development.
  • Experience developing and shipping production code at scale.
  • Ability to distill ambiguous requirements.
  • Proven communication skills.
  • Experience coaching and mentoring ML Engineers.

Ideal Candidate

  • Proficiency in self-serving data for experiments and model training at scale.
  • Established record of high impact deliveries in AI.
  • Deep knowledge in state-of-the-art Computer Vision and multi-modal models.

Compensation

Annual base salary range: $170,400—$234,300 CAD. Eligible for initial RSU grant and performance-based bonus.

Benefits

Equity, bonus program, comprehensive health and parental leave plans, professional development stipend.

Application

Apply via the provided link.

Skills & tags

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