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Senior Machine Learning Engineer, Developer Advocacy
Grafana LabsSenior Machine Learning Engineer leading the evolution of the recommendation system at Grafana Labs. Building and deploying models while collaborating with cross-functional teams in a remote setup.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning, particularly in recommendation and personalization systems, with a strong focus on model development, validation, and deployment. Possesses effective technical communication skills and product thinking to collaborate with cross-functional teams.
Highest-signal resume keywords
Machine Learning ExperienceRecommendation SystemsModel DevelopmentTechnical CommunicationDistributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel ValidationModel MonitoringRecommendation ScienceProduct Thinking
Soft Skills
Technical Communication
Tools & Technologies
HTTPGRPCStreaming Systems
Industry Keywords
Personalization ScienceContent SystemsEducation SystemsOnboarding Systems
Tech Stack
Tools & technologiesDistributed SystemsGrafanaGRPC
About the role
Key responsibilities & impact- Lead the evolution of the recommendation system for Grafana's Interactive Learning system
- Build, deploy, and operate recommendation models
- Partner with software engineers and data analysts
- Develop, validate, and monitor models
- Ship incremental improvements and integrate them into the existing recommender system
Requirements
What you’ll need- 3+ years of experience in machine learning or related field
- Recommendation and personalization science knowledge
- Proficiency in HTTP/gRPC, streaming, and distributed systems
- Applied model ownership experience
- Strong product thinking and technical communication skills
- Familiarity with content, education, or onboarding systems (bonus points)
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