About the job
About Us
Samsara (NYSE: IOT) is a leader in the Connected Operations™ Cloud sector, providing organizations that rely on physical operations with the tools to leverage Internet of Things (IoT) data. Our platform empowers users to derive actionable insights and enhance operational efficiency. By transforming the safety, sustainability, and productivity of critical industries, such as agriculture, construction, field services, transportation, and manufacturing, we support the backbone of the global economy, which accounts for over 40% of global GDP.
Joining Samsara means you will be instrumental in defining the future of physical operations. You will collaborate on innovative product solutions, including Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As a publicly traded company, you will have the freedom and resources to make a significant impact as we focus on long-term growth.
Role Overview:
We are seeking a Senior Machine Learning Engineer to spearhead the architectural transformation of our safety systems. You will evolve our ML stack from isolated, end-to-end models into a cohesive Perception Platform Layer. Your objective is to build resilient infrastructure that converts raw sensor data into timely, impactful decisions, ensuring our models function reliably across both cloud and edge environments.
This position is fully remote for candidates based in the US.
Why You Should Apply:
- Your work will make a difference: The software, firmware, and hardware you create will lead to tangible outcomes, ensuring the lights stay on, food reaches grocery shelves, and, most importantly, that workers return home safely.
- You will drive scalable innovation: With over 2.3 million IoT devices deployed globally, you will work with both emerging and established technologies to promote scalable advancements across industries.
- You are committed to lifelong learning: We have ambitious goals, and every team member at Samsara embodies a growth mindset, engaging with diverse technologies, challenges, and customer needs.
