Grafana Labs
501 - 1000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.
Senior Machine Learning Engineer, Developer Advocacy
🕒 July 22
🇺🇸 United States – Remote
💵 $154.4k - $185.3k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Grafana Labs
501 - 1000 employees
Founded 2014
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
Enterprise • SaaS • Artificial Intelligence
Grafana Labs is a company that specializes in open-source observability technologies and solutions. It offers a comprehensive suite of tools for logging, metrics, tracing, and profile management with products like Grafana, Loki, Tempo, and Mimir. Their offerings are designed to help businesses visualize, monitor, and alert on data from various sources, providing capabilities such as anomaly detection, root cause analysis, and service level objective management using AI/ML insights. Grafana Labs provides both cloud-based and self-managed solutions, ideal for infrastructure, application, and frontend observability. Additionally, their platform supports integration with various data sources like Prometheus and OpenTelemetry, making them a key player in the observability and infrastructure monitoring space.
📋 Description
• Lead the evolution of the Interactive Learning system's recommendation engine • Build and operate applied models for continuous improvement • Define measures of recommendation quality and partner across various teams for integration • Ship incremental improvements and enhance existing recommender features
🎯 Requirements
• Strong candidates should demonstrate credible ability across recommendation and personalization science, distributed systems, and applied model ownership • Experience with ML models, especially in recommendation systems • Familiarity with HTTP/gRPC, and streaming technologies • Comfort with ownership of real-time recommendation services
🏖️ Benefits
• 100% Remote, Global Culture • Health insurance • 401(k) matching • Flexible work hours • Paid time off (30 days annual leave) • In-Person onboarding
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