Senior Machine Learning Engineer, Developer Advocacy | US | Remote

Grafana Labs, the company behind the open observability cloud, is seeking a Senior Machine Learning Engineer in Developer Advocacy to enhance their Interactive Learning system. The role involves building and operating personalized recommendation models, collaborating with software engineers and data analysts to improve user experience through data-driven insights.

Responsibilities:

• Evolve Pathfinder’s recommendation system
• Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations
• You’ll own a real-time recommendation service
• Build and operate applied models
• Develop, validate, version, monitor, and iterate on models used by the recommendation system
• You’ll own model training & serving
• Define what recommendation quality means
• Develop offline, online, and longitudinal measures of recommendation performance
• You’ll own feature pipelines, monitoring of the model and architecture
• Ship incremental improvements
• Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow
• Integrate improvements into the existing recommender rather than waiting for a complete replacement system
• 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
• 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 both technical and non-technical audiences

Requirements:

• Experience building recommendation, ranking, search, matching, propensity, or next-best-action systems
• Comfortable beginning with simple, explainable approaches when they are the best way to learn
• Experience with HTTP/gRPC, streaming, Go/TypeScript in distributed systems
• Experience in applied model ownership, including 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 take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product
• 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