Lead Machine Learning Engineer - ML Infrastructure

About the Position

Samsara is the industry leader in AI for physical operations. We're hiring a Lead Machine Learning Infrastructure Engineer to serve as the technical anchor for ML infrastructure across Samsara's Safety AI organization. You will own the architecture and evolution of our end-to-end ML platform - spanning training, experimentation, inference, and edge deployment across more than 2M deployed devices - and be the connective tissue between applied ML teams, security, and data platform. This role is not an execution role sitting under a technical lead; you are the technical lead. Your decisions shape platform direction, unblock multiple product teams, and translate directly into real-world safety outcomes for the industries that run our world.

This is a remote position open to candidates based in Canada.

Responsibilities

• ML Platform & Infrastructure

  • Set the technical strategy and own end-to-end delivery of Samsara's ML platform (training, experimentation, batch/online inference, edge) - making architectural decisions and being the accountability point across all platform layers for multiple Safety AI product teams.

• Experimentation & Measurement

  • Drive the design, launch, and iteration of Safety AI features (CV models, EcoDriving insights, LLM-based reporting) - not just enabling others to ship, but co-owning outcomes including safety metrics, reliability, and cost at production scale.

• Inference & Edge Deployment

  • 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.

• Reliability, Security & Operations

  • 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.

• Leadership & Culture

  • Be the technical authority for ML infrastructure architecture across Safety AI - setting direction that cross-functional teams (applied ML, firmware, security, data platform) execute against, mentoring senior engineers and applied scientists, and ensuring platform decisions are made at the right level of abstraction with the right trade-offs.
  • Drive strong developer experience through documentation and best practices, while contributing to and representing Samsara in open source communities (Ray, Spark, RayDP).
  • Champion and role model Samsara’s cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team.

Requirements

• Minimum requirements for the role:

  • 10+ years in machine learning engineering, with demonstrated tech lead ownership of at least two major ML platform domains (distributed training, data/research infrastructure, cloud inference, or feature engineering) serving multiple product teams at scale.
  • Proven record of shipping ML-powered features end-to-end - from design through production and iteration - with measurable impact on product or business metrics (not just building internal tooling).
  • Hands-on Ray and Kubernetes expertise in production environments; Spark experience strongly preferred. Able to be a credible peer to the most senior engineers on the team.
  • Deep understanding of ML fundamentals beyond pipelines: evaluation methodology, dataset design, ablation, drift, and the ability to review and redirect modeling approaches - you bridge research and engineering, not just serve them.
  • Demonstrated cross-org technical leadership around platform decisions, and influencing roadmap and go/no-go calls based on throughput, latency, and cost trade-offs.
  • Experience navigating science-engineering tension - knowing when to hold the platform line and when to adapt for research velocity, and communicating that clearly to both sides.

• An ideal candidate also has:

  • Prior contributions to open source projects (Ray, Spark, RayDP, or Kubernetes).
  • Experience with enterprise security/compliance in ML environments.
  • Background working with edge/on-device ML and firmware/embedded teams.

We Offer

• Annual Base Salary

  • $196,000-$269,500 CAD

• Total Rewards

  • At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

• Flexible Working

  • At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements.

• Belonging at Samsara

  • At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.

About the Company

Improve the safety, efficiency, and sustainability of the operations that power the global economy.

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.