Senior Machine Learning Engineer, Developer Advocacy

Grafana Labs

Senior ML Engineer developing and evolving personalized recommendation systems for Grafana's Interactive Learning tool. Collaborating with cross-functional teams to drive continual improvements in user experience.

Posted 7/22/2026full-timeRemote • 🇸🇪 SwedenSenior💰 SEK 775,444 - SEK 930,533 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and iterating on recommendation systems, with a strong focus on personalization, model validation, and performance measurement. Collaborates effectively with cross-functional teams to integrate models into production environments.

Highest-signal resume keywords

Recommendation And Personalization ScienceApplied Model OwnershipHTTP/gRPCGo/TypeScriptDistributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model DevelopmentModel ValidationModel MonitoringRecommendation Quality DefinitionPerformance Measurement

Soft Skills

CollaborationCross-Disciplinary Partnership

Tools & Technologies

Version-Controlled CodebasesData InfrastructureDashboardsExperiment Analysis

Industry Keywords

Candidate SelectionRankingSequencingNext-Best-Action Recommendations

Tech Stack

Tools & technologies

Distributed SystemsGoGRPCTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.