Staff Machine Learning Engineer - Edge AI
Samsara- Base salary
- $179k–$319k Published base salary range
- Location
- Remote - US Remote eligibility
- Employment
- Full-time Staff / Principal
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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