Samsara is looking to improve the safety, efficiency, and sustainability of physical operations by harnessing IoT data to develop actionable insights. The Safety AI team specifically aims to build end-to-end computer vision and machine learning for AI dash cameras to deliver real-time driver safety insights and in-cab alerts.
Requirements
- Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.
- Comfortable leading full-stack / backend development in addition to science and research.
- Experience building, deploying, and optimizing AI systems than span edge devices and the cloud.
- Experience building products and solutions that rely on CV or sensor fusion.
Responsibilities
- Lead teams of scientists and engineers working on CV, sensor fusion, and ML.
- Help architect, build, and improve solutions for hybrid cloud-edge ML.
- Actively contribute to building the roadmap for AI products at Samsara.
- Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
- Own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration
- Develop the core AI platform that powers these capabilities at fleet scale.
- Partner closely with firmware, full-stack, and Platform teams to ship reliable, low-latency features, grounding detections in the “rules of the road” (e.g., stop signs and speed limits) to maximize precision and customer impact.
Other
- This is a remote position open to candidates residing in the United States.
- This position requires travel up to 5% of the time.
- Relocation assistance will not be provided for this role.
- 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.
- Hire, develop and lead an inclusive, engaged, and high performing team.
