Member of Technical Staff, Inference
Overview
Runway is building AI to simulate the world through merging art and science, focusing on world models at the frontier of artificial intelligence.
Job Description
Runway is a company focused on creating AI that simulates the world by merging art and science. They believe in the potential of world models to solve complex problems in robotics, disease, and scientific discovery.
Responsibilities
- - Productionize model checkpoints end-to-end: from research completion to internal testing to production deployment to post-release support
- - Build and optimize inference systems for large-scale generative models running on multi-GPU environments
- - Design and implement model serving infrastructure specialized for diffusion models and real-time diffusion workflows
- - Add monitoring and observability for new model releases—track errors, throughput, GPU utilization, and latency
- - Embed with research teams to gather training data, run preprocessing scripts, and support the model development process
- - Explore and integrate with GPU inference providers (Modal, E2E, Baseten, etc.)
Required Skills
- - 4+ years of experience running ML model inference at scale in production environments
- - Strong experience with PyTorch and multi-GPU inference for large models
- - Experience with Kubernetes for ML workloads—deploying, scaling, and debugging GPU-based services
- - Comfortable working across multiple cloud providers and managing GPU driver compatibility
- - Experience with monitoring and observability for ML systems (errors, throughput, GPU utilization)
- - Self-starter who can work embedded with research teams and move fast
- - Strong systems thinking and pragmatic approach to production reliability
- - Humility and open mindedness; at Runway we love to learn from one another
Benefits
- - Competitive salary based on market rates
- - Opportunity to work with a diverse and talented team
- - Commitment to pay equity and diversity
- - Recognition as a best place to work
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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