Engineering Manager, Machine Learning
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 creating AI models that simulate the world, merging art and science to solve complex problems in robotics, disease, and scientific discovery. They aim to build a team of creative, open-minded, and ambitious individuals.
Responsibilities
- - Lead a talented ML team and keep pushing the boundaries of AI-based content creation
- - Develop and deploy state-of-the-art machine learning systems to production
- - Work weekly with leadership and the engineering team as a whole to review and set priority around goals
- - Build a team of skilled engineers from diverse backgrounds
Required Skills
- - 2+ years of experience in a team lead or engineering manager role
- - 4+ years of industry experience in an engineering and/or research role
- - Strong background building impactful and novel machine learning projects, ideally with expertise in large scale, distributed training
- - Experience training diffusion models or LLM's from scratch
- - Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
- - Empathetic and inclusive leadership style
- - 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
- - Commitment to pay equity
- - Opportunity to work with a diverse team
- - Remote work options across North America and Europe
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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