Samsara-posted 8 months ago
$165,200 - $295,000/Yr
Full-time • Senior
San Francisco, CA
1,001-5,000 employees

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 as we scale globally and across new offices.
  • 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.
  • 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.
  • Competitive total compensation package.
  • Employee-led remote and flexible working.
  • Health benefits.
  • Samsara for Good charity fund.
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