Applied AI Engineer, Learning Intelligence

About this role

Databricks seeks an experienced Applied AI Engineer to build the intelligence layer for personalized learning. You'll design skill graphs, develop ML models to infer learner proficiency, create recommendation systems, and ensure AI features are explainable and production-ready across the platform.

What you'll do

• Design and maintain skill and concept graphs mapping relationships between skills, roles, domains, and learning content
• Develop ML models that infer learner skill levels from behavioral signals, assessments, and usage patterns
• Build and optimize recommendation systems for learning paths and dynamic content suggestions
• Partner with frontend engineers to integrate AI outputs and ensure proper context presentation
• Define and implement explainability standards for model recommendations and outputs
• Monitor production model performance and own the evaluation framework for recommendation quality

What they're looking for

• Machine learning and applied data science (5+ years)
• Knowledge graphs and graph databases
• LLM APIs and prompt engineering
• Production LLM deployment and agentic workflows
• Advanced Python and production application architecture
• Retrieval frameworks and context engineering
• Recommendation and personalization systems
• Model evaluation and monitoring

Benefits

• Competitive base salary ($111,200–$191,050 depending on location)
• Annual performance bonus eligibility
• Equity compensation
• [Additional benefits not detailed in posting]