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See allAbout the role:
- Build and scale the data infrastructure that powers Runway's AI research and business intelligence.
- Own critical data pipelines spanning production databases, analytics warehouses, and large-scale ML training datasets.
- Enable world-class research and data-driven business decisions.
A peek at our technical stack:
- API endpoints are written in TypeScript and run in ECS containers on AWS Fargate.
- Leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS.
- Inference backend is written in Python (PyTorch, TorchScript).
What you’ll do:
- Build standardized data transformation layers using dbt to replace ad-hoc SQL queries.
- Create maintainable data models for business analytics.
- Optimize vector databases for ML workflows.
Runway
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. The Runway team consists of creative, open minded, caring and ambitious people who are determined to change the world.