Senior Machine Learning Engineer, Developer Advocacy

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

📋 Description

• Enhance the recommendation system of the Interactive Learning Plugin.

• Create more personalized strategies for candidate selection, ranking, sequencing, and next-best-action recommendations.

• Construct and manage applied models.

• Develop, validate, version, monitor, and refine models utilized by the recommendation system.

• Establish what constitutes recommendation quality.

• Create offline, online, and longitudinal metrics for evaluating recommendation performance.

• Implement incremental enhancements.

• Leverage existing data and infrastructure while pinpointing the instrumentation and platform capabilities necessary for future growth.

• Collaborate across various disciplines.

• Work closely with software engineers and data analysts to productionize models and ensure their safe integration into the recommender service.

• Collaborate with the Product Analytics team on defining metrics, instrumentation, data quality, dashboards, and conducting experiment analysis.

⛳️ Requirements

• Experience in recommendation and personalization science: you have developed systems for recommendation, ranking, searching, matching, propensity, or next-best-action. You are adept at starting with straightforward, explainable methods when they are the most effective way to learn.

• Proficiency with HTTP/gRPC, streaming, and Go/TypeScript, along with prior experience in distributed systems.

• Ownership of applied models. You have personally constructed, validated, monitored, and iterated on models used in a product or operational context. You can effectively collaborate in version-controlled codebases with engineers during production implementation.

🏝️ Benefits

• 100% Remote, Global Culture - As a fully remote organization, we gather talent from across the globe, united by a collaborative culture and shared mission.

• Scaling Organization – Engage in meaningful work within a high-growth, dynamic environment.

• Transparent Communication – Look forward to open decision-making processes 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 influence our work culture.

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

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

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

• Passionate People – Become part of a team of intelligent, supportive individuals who are deeply invested in their work.

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

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