Member Of Technical Staff

We are building AI to simulate the world through merging art and science.

We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.

World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.

Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.

About the role

We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management.

This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you.

A peek at our technical stack

Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure.

Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure.

What you’ll do

• Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs

• Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines