SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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, optimizing ML model performance on resource-constrained edge devices while partnering across business units to explore and prototype new AI experiences.
You will 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 staying connected to industry and academic research, adopting novel technologies suited to Samsara's needs, and mentoring other ML engineers as you scale the team globally.
Minimum qualifications include 8+ years as a Machine Learning Engineer with profound experience optimizing ML models and systems for edge compute constraints. You must be proficient in Python or similar languages, C++ or Rust, and have strong functional knowledge of iterative ML product development and production-scale shipping. Experience coaching and mentoring ML engineers is required. Ideal candidates bring proficiency in 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 US-based candidates with up to 5% travel required. No relocation assistance provided.
