
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.
🕒 July 22
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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.
• Evolve the Interactive Learning Plugin's recommendation system • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. • Build and operate applied models: develop, validate, version, monitor, and iterate on models used by the recommendation system. • Define what recommendation quality means: develop offline, online, and longitudinal measures of recommendation performance. • Ship incremental improvements: use existing data and infrastructure while identifying future instrumentation needs. • Partner across disciplines: collaborate with software engineers & data analysts to productionize models.
• Strong candidates should demonstrate credible ability across all three core areas. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems • Applied model ownership: you have personally built, validated, monitored, and iterated on models used in a product or operational environment. • Strong product thinker and technical communicator. You can take an ambitious and ambiguous objective and create a sequence of models and experiments that steadily improves the product.
• 100% Remote, Global Culture • Scaling Organization • Transparent Communication • Innovation-Driven • Open Source Roots • Empowered Teams • Career Growth Pathways • Approachable Leadership • Passionate People • In-Person onboarding • Balance is Key - 30 days annual leave, including 3 days reserved for Grafana Shutdown Days
Apply Now🕒 July 21
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💰 Post-IPO Equity on 2021-01
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
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🇨🇦 Canada – Remote
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⏰ Full Time
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