🛠 Tech Stack

💼 About This Role

You'll design and build curated data structures for AI/ML applications, owning vector stores for RAG, the feature store, and graph databases. You'll lead data discovery to uncover trends in lending and account-opening data. This build-oriented role ensures high-quality, well-governed data for model builders, while you validate data fitness for purpose.

🎯 What You'll Do

• Build and maintain vector stores for RAG.
• Design, build, and operate the feature store.
• Design graph databases for relationship modeling.
• Lead data discovery to identify trends and anomalies.

📋 Requirements

• 4–7 years in data science, ML engineering, or applied data role.
• Hands-on experience with vector stores for RAG or semantic search.
• Experience building or operating a feature store.
• Experience modeling graph data structures and writing graph queries.

✨ Nice to Have

• SaaS or FinTech experience with lending, deposit, or fraud data.
• Experience with Databricks-native AI/ML tooling.
• Familiarity with open-source vector databases such as pgvector.

🎁 Benefits & Perks

• 🏖️ Remote work
• 💰 Competitive compensation with salary range $114,593–$195,400
• 🏥 Health insurance
• 📈 Stock options
• 🏢 Enterprise environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min