Senior Manager, Safety AI

Samsara · Remote - USRemotesenior

In short

▸Liderazgo de equipos de machine learning para inteligencia artificial en cámaras de vehículos.
▸Desarrollo de modelos de visión por computadora en tiempo real con datos de sensores y GPS para seguridad vial.
▸Plataforma AI escalable que opera en edge y cloud, con enfoque en precisión y impacto real en la seguridad.

Proficiency in English is required.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓Liderazgo de equipos de ML y CI/CD en entornos de edge computing.
✓Experiencia en modelos de visión por computadora aplicados a seguridad vial.
✓Domínio en el ciclo de vida de modelos: datos, entrenamiento, evaluación, despliegue y monitoreo.
✓Colaboración estrecha con equipos de firmware, full-stack y plataforma.
✓Experiencia trabajando con datos de sensores (IMU, GPS, diagnósticos del vehículo).
✓Enfoque en soluciones con bajo latencia y alta precisión.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Machine LearningComputer VisionEdge ComputingIoTCloud PlatformsData CurationModel TrainingModel EvaluationShadow ExperimentsOnline Experiments

Who should you write to at Samsara?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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: 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. This is a remote position open to candidates residing in the United States except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. <li style="font-fami

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.