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Staff ML Engineer - ML Infrastructure

1 hour, 16 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
DevOps and Infrastructure
Apache Spark AWS Computer Vision Embedded Systems Kubernetes LLM Machine Learning
Apply Now
Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 252

Description

  • Design, build, and operate Samsara’s end-to-end ML platform across training, experimentation, batch and online inference, and edge deployment.
  • Evolve shared training and experimentation infrastructure, including orchestration, clusters, environments, tracking, evaluation, and regression testing.
  • Partner with product and applied ML teams to ship ML-powered features that improve safety, reliability, and cost efficiency.
  • Lead throughput and cost modeling for new ML features to support capacity planning, roadmap decisions, and go/no-go calls.
  • Drive experiment design and evaluation, including success metrics, A/B tests, offline tests, and interpretation of results.
  • Design and operate scalable online and batch inference systems with observability, SLOs, and unified training-to-production workflows.
  • Work with firmware and edge teams to package, validate, and deploy models to devices and create feedback loops from edge to cloud.
  • Own reliability, observability, security, incident response, and infrastructure hardening for ML systems across cloud and edge.
  • Provide Staff+/Senior Staff technical leadership, influence cross-team architecture decisions, and mentor engineers and applied scientists.
  • Improve developer experience through documentation, office hours, best practices, and open source participation.

Requirements

  • 10+ years of overall experience in machine learning engineering or a related field, with experience building and operating large-scale ML systems.
  • Strong experience with distributed computing frameworks such as Ray and/or Spark.
  • Hands-on experience with cloud infrastructure on AWS, containers/Kubernetes, and production observability tooling.
  • Proven experience building or supporting ML platforms for training, experimentation, or inference used by multiple teams.
  • Solid understanding of ML fundamentals, including evaluation, experiment design, and model iteration in production environments.
  • Experience shipping ML-powered features end-to-end with measurable product or business impact (preferred).
  • Background in computer vision and/or LLM-based systems in production environments (preferred).
  • Experience with edge or on-device ML and collaboration with firmware or embedded teams (preferred).
  • Familiarity with model lifecycle systems such as model registry, deployment, monitoring, rollback, and drift detection (preferred).
  • Experience working in environments with strong security and compliance requirements, and ability to lead across teams at Staff+ scope (preferred).

Benefits

  • Annual base salary range of $200,200 to $357,500 USD.
  • Eligible for an initial RSU grant with no vesting cliff.
  • Ongoing RSU refresh opportunities tied to performance, subject to plan terms and conditions.
  • Above-market total compensation, including base salary, performance-based bonus/variable pay, and equity for eligible roles.
  • Flexible, employee-led remote work model.
  • Comprehensive health plans.
  • Parental leave plans.
  • Professional development stipend.

Interested in this position?

Apply directly on the company website

Apply Now

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