Samsara

Senior Machine Learning Engineer

Samsara
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1 day ago
Remote, United States or Remote, CanadaSenior
H1B sponsor

Base Salary

$170k - $286k/yr

Responsibilities

  • Own the cloud-side production path from ML model artifacts to Safety AI applications.
  • Design and maintain reliable, low-latency ML APIs for integrating model outputs into cloud applications.
  • Build scalable data pipelines supporting model iteration, backtesting, shadow evaluation, online evaluation, and automated dataset curation.
  • Productionize, optimize, serve, version, and fine-tune models for platform-specific workloads.
  • Process high-volume camera and sensor telematics data at petabyte scale.
  • Monitor model drift, precision and recall, latency regressions, rollout health, and predictable failure modes.
  • Partner with firmware and platform teams to optimize edge-to-cloud model execution, latency, throughput, and infrastructure cost.
  • Collaborate with applied scientists and product managers to translate research outputs and safety requirements into scalable production architectures.
  • Champion and model Samsara’s cultural principles across the organization.

Requirements

  • 6+ years of experience as a Machine Learning Engineer or in a similar role, with a record of shipping models to production.
  • Strong proficiency in one or more common programming languages, such as C++, Golang, Java, Python, or Scala.
  • Proficiency with ML tools such as Ray, Ray Serve, MLflow, Grafana, PyTorch, or Spark.
  • Experience deploying and iteratively refining models using real customer feedback loops.
  • Comfort with full-stack or backend development and understanding of the data structures and dependencies underlying ML models.
  • Bachelor’s or master’s degree in Computer Science or a related quantitative field.
  • Preferred: Ph.D. in Computer Science or a quantitative discipline such as Applied Math, Physics, or Statistics.
  • Preferred: experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code frameworks.
  • Preferred: experience deploying and managing ML applications in AWS, GCP, or Azure, including cloud storage, processing, and inference.
  • Preferred: experience shipping end-to-end ML applications in safety-critical or high-scale domains.
  • Preferred: expertise optimizing distributed model training with GPUs.

Benefits

  • Remote role open to candidates residing in the United States or Canada.
  • Flexible, employee-led remote work model with offices available for employees who prefer in-person work.
  • Professional development stipend.
  • Comprehensive health and parental leave plans.
  • Eligible roles may receive equity and performance-based compensation.
  • Employment is contingent on securing and maintaining the legal right to work in the company and specified work location.
Samsara

About Samsara

5,001-10,000 employees

Samsara builds a Connected Operations Cloud that uses IoT hardware and software to help fleets and other physical-operations organizations monitor vehicles, assets, and worksites. Its platform spans video-based driver safety, vehicle telematics, equipment monitoring, and mobile workflows, sold as subscriptions with accompanying devices. Founded in 2015 and headquartered in San Francisco, Samsara is a public company on the NYSE (ticker: IOT) serving transportation, construction, manufacturing, field services, and government.

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