Senior Machine Learning Engineer, Developer Advocacy

Details

Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of the system is a personalized recommendation engine that helps users discover the next guide, action, or product experience most likely to help them succeed.

This role will lead the evolution of the existing rule-based recommendation engine into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. The position is fully remote and open to candidates in Sweden.

Responsibilities

• Evolve the Interactive Learning Plugin's recommendation system by developing personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations.
• Own a real-time recommendation service.
• Develop, validate, version, monitor, and iterate on recommendation models.
• Own model training and serving.
• Define offline, online, and longitudinal measures of recommendation performance.
• Own feature pipelines and monitoring of the model and architecture.
• Use existing data and infrastructure while identifying future instrumentation and platform requirements.
• Integrate incremental improvements into the existing recommender.
• Work closely with software engineers and data analysts to productionize models and integrate them safely into the recommender service.
• Partner with Product Analytics 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.
• Explain modeling choices, tradeoffs, uncertainty, and results clearly to technical and non-technical audiences.

Requirements

• Experience building recommendation, ranking, search, matching, propensity, or next-best-action systems.
• Ability to use simple, explainable approaches when appropriate.
• Experience with HTTP/gRPC, streaming, and Go or TypeScript in distributed systems.
• Experience personally building, validating, monitoring, and iterating on models used in a product or operational environment.
• Ability to work effectively in version-controlled codebases and collaborate with engineers on production implementation.
• Strong product thinking and technical communication skills.
• Ability to identify important unknowns and create a sequence of models and experiments that improves a product.

Bonus Qualifications

• Experience with content, education, onboarding, or learning recommendation systems.
• Experience with SaaS product telemetry and customer-account data.
• Experience using warehouse-scale behavioral data.
• Experience with directed graphs, sequence models, or prerequisite-aware recommendations.
• Experience with contextual bandits or other exploration strategies.
• Familiarity with Grafana or the broader observability ecosystem.
• Experience with open source software or transparent development practices.
• Experience working with privacy, fairness, explainability, or responsible personalization constraints.

Compensation And Benefits

• Base compensation in Sweden: SEK 775,444–930,533 per year.
• Restricted Stock Units (RSUs) are included for all roles.
• 100% remote work with a global culture.
• In-person onboarding.
• Global annual leave policy of 30 days per annum, including three Grafana Shutdown Days where applicable under local legislation.
• Career growth pathways, transparent communication, and an innovation-driven environment.