Samsara
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.
Staff ML Engineer
🕒 March 24
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Samsara
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 (e.g., backend CV models, EcoDriving insights, LLM-based reporting) • Lead throughput and cost estimation for new ML features—from early-stage exploration to production-scale capacity planning • Collaborate on experiment design and evaluation, including defining success metrics, structuring A/B tests or offline evaluations • Evolve shared training and experimentation infrastructure (e.g., job orchestration, cluster configuration, environment management) • Design and operate scalable online and batch inference systems (Ray- and Spark-based) • Partner with firmware and edge teams to define workflows for packaging, validating, and deploying models to Samsara devices • Own the reliability, observability, and security posture of ML systems across cloud and edge environments • Provide Staff+/Senior-Staff-level technical leadership by setting architecture and strategy for ML infrastructure • Drive strong developer experience through documentation, office hours, and best practices • Own or co-own end-to-end technical delivery for high-priority or high-risk 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
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