Senior Manager Safety AI
Job Summary
The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s AI dash cameras, focusing on real-time driver safety insights. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with vehicle diagnostic data to interpret actionable safety events. You will own the model lifecycle across edge and cloud, from data curation and training to deployment and iteration.
Responsibilities
- Lead CV, sensor fusion, and ML engineering teams.
- Architect hybrid cloud-edge ML solutions.
- Develop AI product roadmaps.
- Hire and mentor high-performing, inclusive teams.
- Oversee model lifecycle from research to deployment.
Required Skills
- 7+ years AI systems experience.
- 6+ years software engineering.
- 5+ years leadership experience.
- Computer Vision & Sensor Fusion.
- Cloud-edge ML deployment.
- Full-stack/Backend leadership.
Job Details
### Role Overview
The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s AI dash cameras – delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager of Machine Learning, you will lead teams that fuse on-device computer vision with IMU, GPS, and vehicle diagnostic data to detect, interpret, and surface actionable safety events and continuous risk signals. You’ll own the model lifecycle across edge and cloud – data curation, training, evaluation (including shadow/online experiments), deployment, monitoring, and iteration—and develop the core AI platform that powers these capabilities at fleet scale. You’ll 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.
### Key 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.
- Hire, develop and lead an inclusive, engaged, and high performing team.
### Requirements
- BS or MS in Computer Science or other technical degree.
- 7+ years relevant technical experience with AI systems.
- 6+ years relevant software engineering work experience.
- 5+ years of experience leading large software and science teams including senior ICs.
- 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.
### Additional Qualifications
- MS or PhD in Computer Science or other technical degree.
- Proven track record for innovation and delivering value to customers using AI.
- Experience building, deploying, and optimizing AI systems that span edge devices and the cloud.
- Experience building products and solutions that rely on CV or sensor fusion.