Sr Staff / Staff Applied Scientist

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 • 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 the team Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

• Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field. • 10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production. • Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments. • Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU). • Experience with transformer-based architectures and vision-language models (VLMs/VLAs). • Experience building and deploying real-time or edge ML systems optimized for low-latency inference. • Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale. • Experience applying perception to real-world systems such as driver assistance, fleet safety, or operations automation. • Publications or patents at top-tier venues (CVPR, ICCV, ICRA, NeurIPS). The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $200,200 — $357,500 USD

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.