Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Grafana Labs

Senior Machine Learning Engineer, Developer Advocacy

Grafana Labs

Senior ML Engineer focusing on interactive learning and recommendation systems at Grafana Labs. Collaborating across disciplines to enhance user experience through personalized recommendations.

Posted 7/22/2026full-timeRemote • 🇮🇪 IrelandSenior💰 €104,000 - €124,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in recommendation and personalization science, with a strong focus on building and operating applied models for recommendation systems. Proficient in integrating incremental improvements and collaborating with software engineers and data analysts to productionize models.

Highest-signal resume keywords
Recommendation ScienceApplied Model OwnershipGo ProgrammingTypeScript ProgrammingDistributed Systems

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Recommendation SystemsRanking SystemsSearch SystemsMatching SystemsPropensity SystemsNext-Best-Action Systems
Tools & Technologies
HTTPGRPCStreaming

Tech Stack

Tools & technologies
Distributed SystemsGoGRPCTypeScript

About the role

Key responsibilities & impact
  • Evolve the Interactive Learning Plugin's recommendation system
  • Build and operate applied models for recommendation system
  • Define what recommendation quality means and develop measures
  • Ship incremental improvements and integrate them into the existing recommender
  • Partner with software engineers and data analysts to productionize models

Requirements

What you’ll need
  • Strong candidates should demonstrate credible ability across recommendation and personalization science, HTTP/gRPC, streaming, and applied model ownership.
  • Good understanding of recommendation, ranking, search, matching, propensity, or next-best-action systems.
  • Familiarity with Go/TypeScript or previous experience in distributed systems.

Benefits

Comp & perks
  • 100% Remote, Global Culture
  • Scaling Organization
  • Transparent Communication
  • Innovation-Driven
  • Open Source Roots
  • Empowered Teams
  • Career Growth Pathways
  • Approachable Leadership
  • Passionate People
  • In-Person onboarding
  • Balance is Key - 30 days annual leave