Lead Machine Learning Engineer - ML Infrastructure

Samsara
United States
Workplace: RemoteFull timeUSD 200,200 - 357,500 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Ray","Spark","AWS","Kubernetes","Observability","Model deployment"]

Lead design and operation of a scalable end-to-end ML platform powering Safety AI across multiple product teams, combining platform ownership with direct product impact. You’ll work on training, experimentation, batch and online inference, and edge deployment, collaborating with firmware/edge teams and applying ML fundamentals to production-grade systems while guiding roadmap and ensuring reliability.

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FursaFursa
Samsara
Samsara
4 months ago

Lead Machine Learning Engineer - ML Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead design and operation of a scalable end-to-end ML platform powering Safety AI across multiple product teams, combining platform ownership with direct product impact. You’ll work on training, experimentation, batch and online inference, and edge deployment, collaborating with firmware/edge teams and applying ML fundamentals to production-grade systems while guiding roadmap and ensuring reliability.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design, build, and operate Samsara’s end-to-end ML platform spanning training, experimentation, batch and online inference, and edge deployment, used by multiple product teams across Safety AI and adjacent domains.
  • •Partner with product and applied ML teams to design, launch, and iterate ML-powered features (e.g., backend CV models, EcoDriving insights, LLM-based reporting), driving measurable improvements in safety outcomes, feature reliability, and cost efficiency.
  • •Lead throughput and cost estimation for new ML features—from early-stage exploration to production-scale capacity planning—informing roadmap and go/no-go decisions.
  • •Collaborate on experiment design and evaluation, including defining success metrics, structuring A/B tests or offline evaluations, and interpreting results to guide product and technical decisions.
  • •Evolve shared training and experimentation infrastructure (e.g., job orchestration, cluster configuration, environment management), and standardize experiment tracking, evaluation, and regression testing to enable fast and safe iteration.

Pay and Benefits

Salary: USD 200,200 - 357,500 annually
Equity and Bonus:Equity
Perks:Learning BudgetRemote WorkHealth InsuranceParental Leave

Key Requirements

  • •10+ years of experience in machine learning engineering or related fields with a track record of 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 (AWS), containers/Kubernetes, and production observability tooling.
  • •Proven experience building or supporting ML platforms (training, experimentation, or inference) used by multiple teams.
  • •Solid understanding of ML fundamentals including evaluation, experiment design, and model iteration in production environments.
Experience:10+ yearsIoTIndustrialSaaS
Skills:RaySparkAWSKubernetesObservabilityModel deployment
Languages:English
Tech Stack:RaySparkAWSKubernetesEdgeLLMComputer visionCV

Company Brief

Samsara
Provides an integrated IoT platform combining hardware sensors, cameras, and cloud-based software to help businesses monitor vehicles, equipment, and operations for fleet management, safety, compliance, and operational efficiency.
Industry: Supply Chain Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn