Staff ML Engineer

🕒 March 24

🇺🇸 United States – Remote

💵 $200.2k - $357.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Samsara

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• Design, build, and operate Samsara’s end-to-end ML platform spanning training, experimentation, batch and online inference, and edge deployment • Partner with product and applied ML teams to design, launch, and iterate ML-powered features driving measurable improvements in safety outcomes, feature reliability, and cost efficiency • Lead throughput and cost estimation for new ML features, informing roadmap and go/no-go decisions • Collaborate on experiment design and evaluation • Evolve shared training and experimentation infrastructure and standardize experiment tracking, evaluation, and regression testing • Design and operate scalable online and batch inference systems, including deployment patterns, observability, and SLOs • Partner with firmware and edge teams to define workflows for packaging, validating, and deploying models • Own the reliability, observability, and security posture of ML systems • Provide Staff+/Senior-Staff-level technical leadership • Drive strong developer experience through documentation and best practices • Own or co-own end-to-end technical delivery for high-priority initiatives.

🎯 Requirements

• 10+ years of overall experience in machine learning engineering or related fields • 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.

🏖️ Benefits

• Flexible working model • Professional development stipend • Comprehensive health and parental leave plans • Initial RSU grant with no vesting cliff • Ongoing refresh opportunities tied to performance