[Remote] Staff Machine Learning Engineer - Edge AI

Note: The job is a remote job and is open to candidates in USA. Samsara’s AI team builds customer-facing AI solutions and core machine learning infrastructure. The Staff Machine Learning Engineer will lead AI initiatives on edge devices, develop and optimize machine learning solutions using large-scale operational data, and collaborate across engineering and business teams to deliver product features.

Responsibilities

• 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 (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Skills

• 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 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

Benefits

• This is a remote position open to candidates residing in the United States.
• This position is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus/variable pay.
• Equity (for eligible roles) in a high-growth public company.
• A flexible, employee-led remote model.
• A professional development stipend.
• Comprehensive health and parental leave plans.

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