Applied Research Lead, Generative Audio

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.

Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.

About the role

We’re looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.

This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value.

What you’ll need

• 4+ years of industry experience as a research scientist in multimodal, generative audio and proven experience leading projects
• High emotional intelligence and experience mentoring other researchers
• Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
• Experience in translating product and business objectives into technical strategies
• Deep interest in productionizing state of the art ML research