Senior Machine Learning Engineer

Samsara · Remote - USRemotosenior

En corto

▸Ingeniero de ML senior que transforma modelos de visión por computadora en sistemas en la nube y en bordes confiables para monitoreo de seguridad en flotas.
▸Día a día: construye APIs, pipelines de datos y sistemas de evaluación para modelos de IA que operan a escala de millones de vehículos.
▸Lo destacado: el impacto directo en la seguridad de conductores en todo el mundo, con modelos que ayudan a que las personas lleguen a casa seguras.

Fluent English required for collaboration across global teams.

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¿Qué piden?

✓Experiencia demostrable en producción de modelos de ML a escala
✓Conocimiento profundo de sistemas de inferencia de baja latencia en la nube
✓Experiencia con el diseño y mantenimiento de pipelines de datos para ML
✓Capacidad para colaborar con científicos de datos y equipos de firmware
✓Conocimiento en monitoreo, evaluación y gestión de versiones de modelos en producción
✓Experiencia en entornos de trabajo remotos con equipos distribuidos

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PythonTensorFlowPyTorchDockerKubernetesAWSgRPCREST APIsAirflowPrometheus

¿A quién escribirle en Samsara?

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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: Safety AI builds the ML and computer vision systems behind Samsara's AI dash cameras which enable real-time driver alerts, risk signals, and coaching insights running on millions of edge devices and the cloud. This role owns what happens after training: building the resilient, low-latency ML backend systems that turn static model artifacts into high-throughput, cloud-scale safety features. You will partner closely with applied scientists, firmware and full-stack engineers, and product managers and you will build the ML APIs, data pipelines, and evaluation infrastructure that let Safety AI models run efficiently at fleet scale, closing the loop from initial integration through rollout monitoring and iteration to a trustworthy, customer-facing signal. This is ML engineering where the stakes are real: rare, high-consequence events, millions of vehicles, and a product where "it works" means someone got home safely. Kindly refer to this video . This is a remote role open to candidates residing in the US or Canada. Technical Charter and Impact: • Own the cloud-side path from model artifact to production system for Safety AI's ML applications. • Establish practical standards for productionizing models — how they're served, evaluated, versioned, and monitored once they leave applied science. • Set a high bar for reliability: rigorous evaluation, measurable rollout health, and systems that degrade predictably rather than silently. • Act as a technical partner to applied scientists, helping translate research outputs into systems that are debuggable, scalab

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