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Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness IoT data from physical operations—agriculture, construction, field services, transportation, and manufacturing—to develop actionable insights and improve safety, efficiency, and sustainability.
As a Staff Machine Learning Engineer on the AI team, you will lead the design and implementation of critical AI product initiatives on edge devices, working with petabyte-scale sensor, diagnostic, video, and text data to solve problems for physical operations customers globally. You'll develop both tactical AI solutions and longer-term research initiatives, partnering across business units to explore new AI experiences and optimize ML model performance on resource-constrained edge devices.
Key responsibilities include:
- Leading design and implementation of edge AI product initiatives
- Developing tactical and strategic AI solutions
- Working with massive-scale customer operational data (text, transactions, diagnostics, sensor, camera, location)
- Partnering across teams to prototype new AI experiences and optimize edge model performance
- Staying connected to industry and academic research to adopt novel technologies
- Mentoring and coaching ML Engineers
- Championing Samsara's cultural principles as the company scales
You'll work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features and services. The role requires 8+ years as an ML Engineer with profound experience optimizing models for edge compute constraints, proficiency in Python and C++/Rust, strong production shipping experience at scale, and proven ability to mentor others. Ideal candidates have experience self-serving data for experiments at scale, a track record of high-impact AI deliveries, and deep knowledge of state-of-the-art computer vision and multimodal models.
This is a remote position for Canada-based candidates with up to 5% travel required.
