
1001 - 5000 employees
Founded 2015
📦 Logistics
🏗️ Construction
🏥 Healthcare
💰 Seed Round on 2014-08
Logistics • Construction • Healthcare
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.
🔥 0 minutes ago
🌐 United States, Canada – Remote
💵 $170.2k - $286k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
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1001 - 5000 employees
Founded 2015
📦 Logistics
🏗️ Construction
🏥 Healthcare
💰 Seed Round on 2014-08
Logistics • Construction • Healthcare
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.
• Own the cloud-side path from model artifact to production system for Safety AI ML applications • Establish standards for serving, evaluating, versioning, and monitoring production models • Build reliable, low-latency ML APIs for cloud applications • Construct scalable data pipelines for model iteration, backtesting, shadow evaluation, and online evaluation • Productionize model artifacts and optimize serving logic for platform-specific workloads • Process high-volume camera and sensor telematics data for model execution, backtesting, and dataset curation • Monitor model drift, precision/recall, latency regressions, rollout health, and feedback loops • Partner with firmware and platform teams to optimize edge-to-cloud model execution • Work with product managers to translate safety requirements into scalable technical architectures • Collaborate with applied scientists, firmware engineers, full-stack engineers, and product managers • Champion and embed Samsara’s cultural principles as the company scales
• 6+ years of experience as a Machine Learning Engineer or similar role, with a track record of shipping models in production • Strong proficiency in one or more common languages, such as C++, Golang, Java, Python, or Scala • Proficiency with ML tools such as Ray/Ray Serve, MLflow, Grafana, PyTorch, and Spark • Experience deploying and iteratively refining models using real customer feedback loops • Comfort with full-stack/backend development and understanding of data structures and model dependencies • BS or MS in Computer Science or a related quantitative field • Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code frameworks • Experience deploying and managing ML applications in AWS, GCP, or Azure cloud environments • Experience shipping end-to-end ML applications, ideally in safety-critical or high-scale domains • Expertise optimizing distributed model training with GPUs • Ph.D. in Computer Science or a quantitative discipline is an ideal-candidate qualification
• Initial RSU grant with no vesting cliff • Ongoing refresh opportunities tied to performance • Performance-based bonus/variable pay • Equity for eligible roles • Flexible, employee-led remote model • Professional development stipend • Comprehensive health plans • Parental leave plans • Flexible working model • Remote work support
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