Applied Research Lead, Language
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 building AI to simulate 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. The company is committed to creating a diverse and inclusive workplace.
Responsibilities
- - Lead efforts in building large language models and vision language models
- - Focus on multimodal capabilities and reasoning
- - See research materialize in novel user interfaces for creative tasks
Required Skills
- - 4+ years of relevant ML engineering or research experience in language models
- - Very strong programming skills and ability to write clean and maintainable research code
- - Deep interest in building human-in-the-loop systems for creativity
- - Passion for seeing research through from initial conception to eventual application
- - Experience mentoring and teaching other researchers
- - Strong communication, collaboration, and documentation skills
Benefits
- - Competitive salary based on market rates
- - Commitment to pay equity
- - Opportunity to work with a diverse and inclusive team
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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