Member of Technical Staff, Data Infrastructure
Overview
Runway is building AI to simulate the world through merging art and science. They believe that world models are at the frontier of progress in artificial intelligence.
Job Description
Runway is focused on creating AI models that simulate the world, merging art and science to solve complex problems in robotics, disease, and scientific discovery. They aim to build a team of creative, open-minded, and ambitious individuals.
Responsibilities
- - Build and own pipelines for the creation, curation, and processing of large-scale multimodal datasets
- - Manage vector database (LanceDB) management and query optimization for ML metadata
- - Build and own ETL and CDC streams from Postgres and ClickHouse to analytics warehouses
- - Build standardized data transformation layers using dbt
- - Manage production databases (Postgres, ClickHouse) and optimize for performance and reliability
Required Skills
- - 4+ years of industry experience in data engineering
- - Strong knowledge of Python
- - Experience with data quality, deduplication, and cleaning at scale
- - Comfortable working with cloud storage (S3) and managing large datasets
- - Experience building and maintaining ETL/CDC pipelines at scale
- - Strong SQL skills and experience with multiple database systems (Postgres, columnar databases like ClickHouse/Redshift)
- - Humility and open mindedness
Benefits
- - Competitive salary based on market rates
- - Opportunity to work in a high-growth startup environment
- - Commitment to diversity and pay equity
About the company
Runway builds AI to simulate the world by merging art and science. Runway believes that world models represent the frontier of progress in artificial intelligence. Language models alone are insufficient to solve the world’s hardest problems—such as robotics, disease, and scientific discovery. Meaningful progress requires models that can experience the world and learn from their mistakes, in much the same way humans do. Runway focuses on accelerating this learning through simulation rather than real-world trial and error. By enabling rapid experimentation in simulated environments, world models provide a clear path toward general-purpose simulation and more capable AI systems. Runway operates offices in New York, San Francisco, Seattle, London, and Tel Aviv, with team members working remotely from around the world.
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