Senior Machine Learning EngineerNew$170K

The opportunity

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…

What you'll do

  • 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, scalable, and cost-efficient in production.

  • Design Production ML APIs: Architect and maintain reliable, low-latency APIs to integrate Safety AI model outputs directly into cloud applications.

  • Build Data Flywheels: Construct scalable pipelines to power continuous model iteration, backtesting, shadow and online evaluation, enabling fast and safe deployments.

What they're looking for

  • Optimize & Serve Artifacts: Productionize model artifacts handed off by applied scientists, optimizing serving logic and fine-tuning models for platform-specific workloads.
  • Petabyte-Scale Operations: Process high-volume camera and sensor telematics data to support model execution, backtesting, and automated dataset curation.
  • Monitor & Maintain Rollout Health: Build systems to track model drift, precision/recall, and latency regressions in production, ensuring predictable failure modes and closed-loop data feedback.
  • Cross-Functional System Integration: Partner with firmware and platform teams to optimize edge-to-cloud model execution, balancing latency, throughput, and infrastructure cost.