About the Job
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 a...
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 ...
We are open to calibrating this role at Staff, Senior Staff, or Principal level depending on the candidate's scope of experience — what matters most is end-to-end platform ownership and the ability to operate as the technical anchor for the organization.
Key Responsibilities
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.
We are open to calibrating this role at Staff, Senior Staff, or Principal level depending on the candidate's scope of experience — what matters most is end-to-end platform ownership and the ability to operate as the technical anchor for the organization.
Required Skills & Abilities
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.
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.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
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.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
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. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment
