About the job
About Us
Samsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a transformative platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. We are committed to enhancing the safety, efficiency, and sustainability of the critical sectors that drive our global economy, including agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally revolutionize these industries at scale.
Joining Samsara means being part of a team that is shaping the future of physical operations through innovative solutions such as Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As a recently public company, you'll have the freedom and support to make a lasting impact as we build for the future.
Position Overview:
We are seeking a driven Senior Machine Learning Engineer to become a vital member of our Safety In-Vehicle Experience team. This team is dedicated to enhancing how millions of drivers engage with Samsara on the road, providing real-time safety alerts and AI-driven insights to foster driver safety, engagement, and trust.
This role requires an experienced Edge AI engineer who is passionate about developing and optimizing machine learning models specifically for highly constrained embedded environments. You will play a key role in bridging research and production by deploying efficient, reliable, and scalable AI models that will power the next generation of our in-vehicle intelligence.
This is a fully remote position open to candidates residing in the United States.
Ideal Candidates Will:
- Desire to make a difference in essential industries: The software, firmware, and hardware you develop will have a tangible impact, ensuring critical services are maintained, food supply remains steady, and, most importantly, that workers return home safely.
- Aim to build for scale: With over 2.3 million IoT devices already deployed globally, you will be working with a diverse range of technologies that drive scalable innovation for customers.
