About the role
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About
the role: Samsara's AI has helped prevent accidents that would have harmed an estimated 380,000 people per year. Every model we ship runs in the real world, on real roads, protecting real drivers. This is the most senior individual contributor role on our Safety AI team.
The role is focused on taking models from research to production in safety-critical systems. You'll sit at the intersection of cutting-edge computer vision research and production systems that run across millions of IoT devices globally. The models you build run on the edge, in real time, on the trucks and vans and heavy equipment that keep the world moving. Scale: Millions of AI dash cams, 100B+ miles/year (~99% of U.S. roads), 25T+ data points Problems: Driver behavior understanding, 3D scene reasoning, and long-tail event detection in real-world environments Stack: Modern vision models (e.g. transformers), large-scale training pipelines, and optimization for edge inference on constrained devices This is a remote position open to candidates residing in the US. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: You will be the technical thought leader and you will lead the design and implementation of our most critical Safety AI initiatives including real-time perception systems that run across millions of edge devices in the physical world and the cloud. The scale and constraints make this an extremely unique applied ML problem. You will: Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models Stay at the frontier of CV and perception research and translate what matters into shipped product Mentor and technically guide senior scientists and engineers across