Senior Machine Learning Engineer, Developer Advocacy | US | Remote

Build and evolve an open-source, in-product personalized recommendation system within an Interactive Learning experience. Own end-to-end recommendation model development—training, serving, monitoring, evaluation, and iterative improvements—using real-time product behavior and metadata. Define recommendation quality with offline/online/longitudinal measures, run experiments, and partner with software engineers and analysts to safely productionize models and translate ambiguous needs into measurable outcomes.