Lead Machine Learning Engineer - ML Infrastructure

About the role

Job Description About Samsara Who we are 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…

Requirements

• 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.
• 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 cli…
• 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/…

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