Runway
Member of Technical Staff, Applied Research Scientist
- Jenis pekerjaan
- Penuh waktu
- Cara kerja
- Remote
- Lokasi
- Remote
- Dipublikasikan
- 30 Apr 2022
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
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.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We’re looking for Applied Research Scientists to help us develop cutting-edge computer vision and generative models to power our creative tools. We are looking for candidates with a strong background building impactful and novel machine learning projects, strong software engineering skills, and who are deeply interested in seeing their research materialize in novel user interfaces for creative tasks.
This is a cross-functional team that requires strong communication and collaboration skills; you will have a chance to work with our backend team to help bring your research models to production, and with our design and frontend engineering team to make sure that your machine learning models work in harmony with the user interfaces that interact with them.