Junior AI Data Discovery Recommendation Developer

About the role

Responsibilities

• Build dataset usage signal tracking: co-access patterns, search-to-access sequences, and team usage patterns
• Implement collaborative filtering recommendations surfacing datasets frequently used together
• Create query-context recommendation matching analyst search intent to relevant uncatalogued tables
• Develop freshness and quality signals weighting recommendations toward actively maintained datasets
• Build recommendation serving API delivering context-aware suggestions in the catalog search interface
• Track recommendation click-through and adoption rates as primary quality metrics

Requirements

• 1+ year of Python and SQL development experience
• Basic familiarity with recommendation systems or data pipeline development
• Interest in data catalog products, analytics engineering, or developer tooling
• Attention to recommendation relevance and signal accuracy
• Good communication for collaborating with senior engineers on recommendation system design

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $1,500 annual learning budget
• Mentorship from senior catalog engineers
• 401(k) with match

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