Staff Machine Learning Engineer - Edge AI

Overview

Lead design and implementation of critical AI product initiatives on edge devices for Samsara's Physical Operations customers, working with petabyte-scale sensor, diagnostic, video, and text data.

What you'll do

• 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 the company scales globally and across new offices.

What you'll need

• 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.

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.

Details

• Remote position open to candidates residing in the United States.
• Travel up to 5% of the time.
• Relocation assistance will not be provided.
• Annual base salary $178,640 to $319,000 USD; eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities.