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Lead Machine Learning Engineer - ML Infrastructure

Samsara· Safety AI
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RemoteCA$196k - CA$269.5kFull-timePosted 2mo ago

About the role

Lead ML Infrastructure Engineer responsible for end-to-end ML platform across Safety AI, including training, experimentation, inference, and edge deployment, with technical anchor role and cross-functional influence.

Responsibilities

  • Set the technical strategy and own end-to-end delivery of Samsara's ML platform (training, experimentation, batch/online inference, edge)
  • Drive the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-based reporting)
  • Design and operate scalable online and batch inference systems (Ray, Spark), including deployment patterns, observability, SLOs, and unified training-to-production workflows
  • Partner with firmware and edge teams to package, validate, and deploy models to Samsara devices, and build feedback loops from edge to cloud for continuous improvement
  • Own reliability, observability, and security for ML systems across cloud and edge, including on-call practices, incident response, and infrastructure hardening
  • Own or co-own end-to-end technical delivery for high-priority or high-risk initiatives, from modeling and system design through production rollout
  • Be the technical authority for ML infrastructure architecture across Safety AI, mentoring senior engineers and applied scientists
  • Drive strong developer experience through documentation and best practices, contribute to open source communities (Ray, Spark, RayDP)
  • Champion Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team

Qualifications

  • 10+ years in machine learning engineering, with demonstrated tech lead ownership of at least two major ML platform domains serving multiple product teams at scale
  • Proven record of shipping ML-powered features end-to-end with measurable impact
  • Hands-on Ray and Kubernetes expertise in production environments; Spark experience strongly preferred
  • Deep understanding of ML fundamentals beyond pipelines (evaluation methodology, dataset design, ablation, drift)
  • Demonstrated cross-org technical leadership around platform decisions and roadmap influence based on throughput, latency, and cost
  • Experience navigating science-engineering tension and communicating trade-offs to both sides

Skills

Required:ML platform architectureRayKubernetes
Nice to have:SparkSecurity & compliance in MLEdge/on-device ML

Benefits

  • Flexible, employee-led remote model
  • Professional development stipend
  • Comprehensive health and parental leave plans
Last updated Oct 10, 2026. Interested? Apply on the company site.

About Samsara

Samsara | The Connected Operations Platform

Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.

Fleet TelematicsCameras and VideoDriver ExperienceSafety Reporting & InsightsEquipment ManagementIntegrated platformAI-powered analyticsFleet Intelligence
Company profileWebsite

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