Staff Machine Learning Engineer - Edge AI

The Samsara AI team builds end-to-end AI solutions for customers 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. You will collaborate with ML Engineers, Scientists, and full-stack and firmware engineers to deliver core product features, services, and optimizations.

• Lead design and implementation of critical AI product initiatives on Edge devices.
• Develop 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.
• Champion Samsara's cultural principles.

• 8+ years experience as a Machine Learning Engineer.
• Profound experience 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.

• 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.

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. Total rewards include base salary, performance-based bonus/variable pay, and equity for eligible roles. Additional benefits include a flexible remote model, professional development stipend, comprehensive health and parental leave plans.

Apply via the provided link. For accommodations, email accessibleinterviewing@samsara.com.