Senior Machine Learning Engineer, Developer Advocacy | Spain | RemoteSpain (Remote)Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture.

Grafana

Cloud, our fully managed observability platform, is flexible and built for scale.

With Grafana

Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.Learn more at grafana.We're scaling fast and staying true to what makes us different: an open-source legacy, a general collaborative culture, and a passion for meaningful work.

Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.This is a fully remote position and we're considering candidates in Spain.OpportunityGrafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context,



and experimentation.This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap.

You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy.You'll own model training & servingDefine what recommendation quality meansDevelop offline, online, and longitudinal measures of recommendation performance.You'll own feature pipelines, monitoring of the model and architectureShip incremental improvementsUse the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow.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.Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions.QualificationsWe know it is rare to find everything.

Recommendation and personalization science : you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation.Bonus PointsExperience with content, education, onboarding, or learning recommendation systemsExperience with SaaS product telemetry and customer-

📌 Senior Machine Learning Engineer, Developer Advocacy | Spain | Remote New Spain (Remote) (Málaga)
🏢 Grafana Labs
📍 Málaga