Senior Machine Learning Engineer, Developer Advocacy

📍 Spain

EUR 83,000-99,600 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Communication @ 7 Data Science Distributed Systems @ 4 Experimentation Go @ 4 Grafana @ 4 HTTP @ 4 Hiring @ 4 Machine Learning @ 4 Observability @ 3 TypeScript @ 4 gRPC @ 4

Details

Grafana Labs is hiring a Senior Machine Learning Engineer to evolve the recommendation system for its Interactive Learning Plugin, an open-source, in-product learning experience. The role focuses on building a personalized recommendation system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science position involving model development, deployment, operation, experimentation, evaluation methodology, and scientific roadmap definition.

Responsibilities

Develop personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations.
Own a real-time recommendation service, including model training and serving.
Develop, validate, version, monitor, and iterate on recommendation models.
Define offline, online, and longitudinal measures of recommendation performance.
Own feature pipelines and monitoring for the model and architecture.
Use existing data and infrastructure to ship incremental improvements to the recommender.
Identify future instrumentation and platform capabilities required to improve the system.
Work with software engineers and data analysts to productionize models and integrate them safely into the recommender service.
Partner with Product Analytics on metrics, instrumentation, data quality, dashboards, and experiment analysis.
Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to turn ambiguous needs into testable hypotheses and measurable product decisions.
Explain modeling choices, tradeoffs, uncertainty, and results to technical and non-technical audiences.

Requirements

Experience building recommendation, ranking, search, matching, propensity, or next-best-action systems.
Experience with HTTP/gRPC and streaming.
Previous experience with Go and TypeScript in distributed systems.
Experience personally building, validating, monitoring, and iterating on models used in a product or operational environment.
Ability to work in version-controlled codebases and collaborate with software engineers on production implementation.
Strong product thinking and technical communication skills.
Ability to identify key unknowns and create a sequence of models and experiments that steadily 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.

Benefits

Restricted Stock Units (RSUs).
100% remote global culture.
Career growth pathways.
In-person onboarding.
Global annual leave policy of 30 days per year, including three Grafana Shutdown Days, subject to local legislation.