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Member of Technical Staff, Inference

Runway· Research and AI Infrastructure
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Remote$240k - $290kfull-timePosted 8mo ago

About the role

Building AI world models through research and scalable inference systems to revolutionize simulation 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.)

Qualifications

  • 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

Skills

Required:PyTorchKubernetesMulti-GPU inferenceCloud PlatformsMonitoring & Observability

Benefits

  • Salary range: $240,000-290,000
Last updated Apr 1, 2026. Interested? Apply on the company site.
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