Senior Machine Learning Engineer, Developer Advocacy

This is a fully remote position, open to applicants in Spain.

📋 Description

• Enhance the recommendation system of the Interactive Learning Plugin.

• Develop and manage applied models.

• Establish the criteria for recommendation quality.

• Deliver incremental enhancements.

• Collaborate across various disciplines.

⛳️ Requirements

• Expertise in recommendation and personalization science: You have experience creating recommendation, ranking, search, matching, propensity, or next-best-action systems. You are adept at starting with straightforward, explainable techniques when they are the most effective for learning.

• Familiarity with HTTP/gRPC, streaming, and Go/TypeScript, particularly in the context of distributed systems.

• Ownership of applied models: You have independently built, validated, monitored, and iterated on models utilized in a product or operational setting. You can effectively work within version-controlled codebases and collaborate with engineers on production deployment.

🏝️ Benefits

• 100% Remote, Global Culture - As a fully remote company, we unite talent from across the globe, fostering a collaborative and purpose-driven culture.

• Scaling Organization – Engage in significant work within a rapidly growing and dynamic environment.

• Transparent Communication – Anticipate open decision-making and regular updates across the company.

• Innovation-Driven – Enjoy the autonomy and support to deliver exceptional work and explore new ideas.

• Open Source Roots – Our community-driven values shape our work culture.

• Empowered Teams – We maintain a high-trust, low-ego culture that prioritizes results over appearances.

• Career Growth Pathways – Clear opportunities for career advancement and professional development.

• Approachable Leadership – Our transparent executives are involved, visible, and relatable.

• Passionate People – Join a team of intelligent, supportive individuals who are deeply committed to their work.

• In-Person Onboarding - We want you to succeed from day one alongside your fellow new ‘Grafanistas’ to learn about our operations and culture.

• Balance is Key - We implement a global annual leave policy of 30 days per year, with 3 days reserved for Grafana Shutdown Days to help the team fully disconnect.