Senior Machine Learning Engineer, Developer Advocacy

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

📋 Description

• Enhance the recommendation system of the Interactive Learning Plugin.

• Develop and maintain applied models.

• Establish 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 methods when they are the most effective for learning.

• Prior experience with HTTP/gRPC, streaming, and Go/TypeScript in distributed systems.

• Ownership of applied models. You have personally constructed, 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 implementation.

🏝️ Benefits

• 100% Remote, Global Culture - As a fully remote company, we unite talent from all around the globe, driven by a culture of collaboration and shared objectives.

• Scaling Organization – Engage in significant work within a high-growth, continuously evolving environment.

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

• Innovation-Driven – Enjoy autonomy and support to produce outstanding work and explore new ideas.

• Open Source Roots – Founded on community-driven values that influence our work practices.

• Empowered Teams – A culture of high trust and low ego that prioritizes results over appearances.

• Career Growth Pathways – Clearly defined opportunities for career advancement and development.

• Approachable Leadership – Transparent executives who are involved, visible, and personable.

• Passionate People – Become part of 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 everything about our operations and methodologies.

• Balance is Key - We uphold a global annual leave policy of 30 days per year, with 3 days of your annual leave set aside for Grafana Shutdown Days to ensure the team can truly disconnect.