Senior Machine Learning Engineer (Developer Advocacy)

Join Grafana Labs as a Senior Machine Learning Engineer (Developer Advocacy). In this role, you will evolve the Interactive Learning Plugin's recommendation system, develop personalized approaches to candidate selection and ranking, and own a real-time recommendation service. You will collaborate with various teams, define recommendation quality, and ship incremental improvements. Enjoy benefits such as 30 days of paid vacation, healthcare coverage, retirement planning, professional development opportunities, and a fully remote work environment.

• Evoluer le système de recommandation du plugin d'apprentissage interactif et développer des approches de sélection de candidats de plus en plus personnalisées.
• Posséder un service de recommandation en temps réel, construire et exploiter des modèles appliqués, et définir ce que signifie la qualité de la recommandation.
• Collaborer avec des équipes interfonctionnelles pour traduire des besoins ambigus en hypothèses testables et en décisions de produit mesurables.
• You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity
• HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems
• 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
• We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two
• 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
• You should also be a strong product thinker and technical communicator. You can 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 SaaS product telemetry and customer-account data
• Experience with content, education, onboarding, or learning recommendation systems
• Experience using warehouse-scale behavioral data
• Experience with directed graphs, sequence models, or prerequisite-aware recommendations
• Experience with contextual bandits or other exploration strategies
• Experience with open source software or transparent development practices
• Familiarity with Grafana or the broader observability ecosystem
• Experience working with privacy, fairness, explainability, or responsible personalization constraints