Staff Machine Learning Engineer - Edge AI

Samsara is looking for a Staff Machine Learning Engineer to work on Edge AI solutions. The engineer 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 tactical AI solutions as well as 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 ML model performance on edge devices.
• Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs.

Requirements:

• 8+ years of 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 with various levels of technical knowledge.
• Experience coaching and mentoring ML Engineers.

Nice to have:

• 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.

Compensation:

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