
Member of Technical Staff, GPU Optimization
Overview
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.
Job Description
Runway is a company focused on building AI systems that simulate the world by merging art and science. They aim to create world models that can solve complex problems in robotics, disease, and scientific discovery through simulation.
Responsibilities
- - Develop innovative research projects in computer vision, focusing on generative models for image and video
- - Work with a world-class engineering team pushing the boundaries of content creation on the browser
- - Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production
Required Skills
- - 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
- - Experience with CUDA, C++ and systems level performance optimizations
- - Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
- - Very strong programming skills and ability to write clean and maintainable research 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 communication, collaboration, and documentation skills
Benefits
- - Competitive salary based on market rates
- - Opportunity to work with a diverse and talented team
- - Commitment to pay equity and diversity
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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