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Runway Logo Runway · IT - Software Development

Member of Technical Staff, Machine Learning Datasets

United States 270000.00 - 370000.00 USD / Year · Job Posted January 10, 2026
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Job Description

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.

Job Responsibility

  • Develop and maintain large-scale, multimodal datasets for training and evaluating models
  • Optimize models for data preprocessing tasks
  • Create and run evaluations and benchmark analyses for datasets and models
  • Implement fast iteration cycles and feedback loops to continuously improve model datasets
  • Work with a world-class research team to push the boundaries of content creation
  • Evaluate new datasets and models for upstream data tasks that feed into our products

Requirements

  • 4+ years of relevant experience in machine learning or dataset engineering, ideally with multimodal datasets
  • Experience with running and optimizing models offline at large scale
  • Excellent data modeling skills and experience with data curation
  • Proficiency in model finetuning and optimization for data preprocessing
  • Strong data analysis and SQL skills
  • Experience in creating evaluations and running benchmark analyses
  • Solid knowledge of at least one machine learning framework (e.g. PyTorch, JAX, TensorFlow)
  • Very strong programming skills and ability to write clean and maintainable code
  • Deep interest in building human-in-the-loop systems for creativity
  • Ability to rapidly prototype solutions and iterate on them with tight product deadlines
  • Strong familiarity with tools such as Ray, Kubernetes, Airflow, Prefect
  • Excellent communication, collaboration, and documentation skills
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