Lead Machine Learning Engineer - ML Infrastructure

Samsara
Canada
Workplace: RemoteFull time196,000 - 269,500 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Leadership","Collaboration","Mentoring","Communication","Problem-solving"]

Lead design and evolution of an end-to-end ML platform powering Safety AI and adjacent product areas, with ownership of training, experimentation, batch and online inference, edge deployment, and production-scale capacity planning. Collaborate with product and ML teams, drive metrics and cost efficiency, and mentor engineers while shaping ML infrastructure strategy for cloud and edge environments.

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FursaFursa
Samsara
Samsara
4 months ago

Lead Machine Learning Engineer - ML Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead design and evolution of an end-to-end ML platform powering Safety AI and adjacent product areas, with ownership of training, experimentation, batch and online inference, edge deployment, and production-scale capacity planning. Collaborate with product and ML teams, drive metrics and cost efficiency, and mentor engineers while shaping ML infrastructure strategy for cloud and edge environments.
Location: Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

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: 196,000 - 269,500 annually
Equity and Bonus:Equity
Perks:Remote WorkLearning BudgetHealth InsurancePar Parental

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+ yearsIoTAICloud
Skills:LeadershipCollaborationMentoringCommunicationProblem-solving
Languages:English
Tech Stack:RaySparkAWSKubernetesDockerLLMComputer vision

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