Staff Machine Learning Engineer – Edge AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee the design and execution of essential AI product projects on Edge devices.

• Create tactical AI solutions alongside strategic, long-term research initiatives.

• Manage petabyte-scale customer operations data, which includes text, transactions, diagnostics, sensor, camera, and location data.

• Collaborate with various business units to investigate and prototype innovative AI experiences.

• Enhance the performance of machine learning models on edge devices.

• Stay updated with industry and academic research, integrating novel technologies that meet Samsara’s requirements.

• Advocate for and exemplify Samsara’s cultural principles as the company expands globally and opens new offices.

• Work in partnership with ML Engineers, Scientists, full-stack engineers, and firmware engineers to deliver product features, services, and enhancements.

⛳️ Requirements

• A minimum of 8 years of experience as a Machine Learning Engineer.

• Extensive experience in optimizing machine learning models and systems for edge computing limitations.

• Proficiency in coding with Python or similar languages.

• Experience coding in C++ or Rust.

• Strong understanding of the iterative machine learning product development lifecycle.

• Experience in developing and deploying production code at scale.

• Ability to translate vague or informal customer and business requirements into clear problem statements.

• Proven ability to communicate effectively, both verbally and in writing, with technical colleagues and leadership across varying levels of technical expertise.

• Experience in coaching and mentoring ML Engineers.

• Competence in independently accessing data for experiments and model training at scale.

• A strong track record of successful high-impact contributions in the field of AI.

• In-depth knowledge of cutting-edge Computer Vision and multimodal models.

• Must possess the legal right to work at the company and in the designated work location.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Ongoing equity refresh opportunities based on performance.

• Performance-based bonuses and variable pay.

• Flexible, employee-driven remote work model.

• Stipend for professional development.

• Comprehensive health insurance plans.

• Parental leave benefits.

• Competitive total compensation packages above market standards.

• Flexible working arrangements.

• Support for remote work.

• Office spaces available for employees who choose to work on-site.