Grafana Labs
501 - 1000 employees
Founded 2014
đ˘ Enterprise
âď¸ SaaS
đ¤ 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
đĽ 0 minutes ago
đŽđŞ Ireland â Remote
đľ âŹ104k - âŹ124.8k / year
â° Full Time
đ Senior
đ¤ Machine Learning Engineer
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Grafana Labs
501 - 1000 employees
Founded 2014
đ˘ Enterprise
âď¸ SaaS
đ¤ 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.
đ Description
⢠Evolve the Interactive Learning Plugin's recommendation system ⢠Build and operate applied models for recommendation system ⢠Define what recommendation quality means and develop measures ⢠Ship incremental improvements and integrate them into the existing recommender ⢠Partner with software engineers and data analysts to productionize models
đŻ Requirements
⢠Strong candidates should demonstrate credible ability across recommendation and personalization science, HTTP/gRPC, streaming, and applied model ownership. ⢠Good understanding of recommendation, ranking, search, matching, propensity, or next-best-action systems. ⢠Familiarity with Go/TypeScript or previous experience in distributed systems.
đď¸ Benefits
⢠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
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