Senior Backend Engineer, Data Modeling and Ingestion Platform

Highlights

• Build the unified canonical dataset powering generative audio model research
• Design large-scale entity resolution to unify heterogeneous provider datasets
• Create training-ready datasets that directly fuel ML research and products

What they offer

• Highly competitive salary and equity
• Flexible time off
• Top-notch private health, dental, and vision insurance for you and dependents
• 401(k) plan options with employer matching
• Quarterly productivity budget
• Productivity package including ChatGPT Plus, Claude Code, and Copilot
• Concierge medical care through One Medical and Rightway
• Mental health support from Spring Health

Ideal candidate

A pragmatic, algorithmically-minded backend engineer who loves taming messy heterogeneous data and partnering with ML researchers to build high-quality foundations for research.

Requirements

• Experience working with large, heterogeneous datasets from multiple providers or domains
• Strong background in entity resolution, deduplication, data unification, or large-scale data integration
• Proficiency in Python with emphasis on efficient, scalable data processing
• Experience with BigQuery, Google Dataflow / Apache Beam or similar batch-processing frameworks
• Familiarity with data validation, normalization, reconciliation across diverse sources
• Ability to craft matching and decision strategies balancing accuracy, completeness and efficiency
• Comfortable iterating quickly on pragmatic solutions, balancing correctness with time-to-delivery
• Clear communication skills and ability to collaborate closely with ML and research teams