Senior ML Engineer, Safety AI Backend (Remote)

Samsara

Seattle (WA)

Remote

USD 170,000 - 286,000

Full time

20 hours ago
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Job summary

Samsara is seeking a Machine Learning Engineer for Safety AI to design production ML APIs and scalable data flywheels enabling real-time safety features across fleet-scale devices. You will partner with applied scientists, firmware and frontend/backend teams to productionize models, monitor latency, and ensure reliability.

Minimum requirements include 6+ years in ML engineering, proficiency in C++, Python, and cloud tooling, plus a BS/MS in CS.

Qualifications

  • 6+ years of experience shipping models in production.
  • Strong proficiency in one or more common languages (e.g., C++, Python, Java, Scala).
  • BS or MS in Computer Science or related field; PhD preferred for advanced roles.
  • Experience with containerization and cloud environments (AWS/GCP/Azure).
  • Experience deploying ML applications with data-driven feedback loops.

Responsibilities

  • Design Production ML APIs to integrate model outputs into cloud apps.
  • Build data flywheels: scalable pipelines for model iteration and evaluation.
  • Optimize and serve model artifacts for platform workloads.
  • Handle petabyte-scale video/sensor data processing for model execution.
  • Monitor rollout health, model drift, latency, and reliability in production.
  • Collaborate with firmware, platform, and product teams to align requirements.
  • Champion Samsara culture and focus on customer success.

Skills

C++, Python, Java

Education

BS or MS in CS
PhD in CS (adv)

Tools

Ray Serve
MLflow
Grafana
PyTorch
Spark
Docker
Kubernetes

Job description

Samsara is seeking a Machine Learning Engineer for Safety AI to design production ML APIs and scalable data flywheels enabling real-time safety features across fleet-scale devices. You will partner with applied scientists, firmware and frontend/backend teams to productionize models, monitor latency, and ensure reliability.

Minimum requirements include 6+ years in ML engineering, proficiency in C++, Python, and cloud tooling, plus a BS/MS in CS.

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