
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.
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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 the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. • Partner across disciplines • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis.
• Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn. • 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. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation.
• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. • Transparent Communication – Expect open decision-making and regular company-wide updates. • Innovation-Driven – Autonomy and support to ship great work and try new things. • Open Source Roots – Built on community-driven values that shape how we work. • Empowered Teams – High trust, low ego culture that values outcomes over optics. • Career Growth Pathways – Defined opportunities to grow and develop your career. • Approachable Leadership – Transparent execs who are involved, visible, and human. • Passionate People – Join a team of smart, supportive folks who care deeply about what they do. • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
Apply Now🕒 2 days ago
Senior Machine Learning Engineer building and shipping ML systems that are reliable in production. Collaborating with cross-functional teams and mentoring ML engineers to enhance performance.
Python
PyTorch