Director of Machine Learning, ML Datasets Engineering
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 focused on creating AI models that experience the world and learn from their mistakes, similar to humans. They aim to accelerate this process through simulation, offering a clear path to general-purpose simulation.
Responsibilities
- - Establish and oversee data partnerships to obtain high-quality datasets for our AI models
- - Develop data strategies that support Runway's product and research objectives
- - Analyze our data ecosystem to find gaps and areas for improvement
- - Work with external partners on new data projects
- - Keep up with advances in dataset engineering and machine learning, applying new methods to our work
- - Participate in hands-on data analysis, guiding the team in data exploration and interpretation
- - Manage data costs and implement ways to optimize data usage and storage
Required Skills
- - 8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
- - Experience leading data strategies and partnerships at a senior level
- - Expertise in data analysis, with practical experience in examining complex datasets
- - Knowledge of data cost management and optimization techniques
- - Understanding of current developments in dataset engineering and machine learning
- - Experience working with external data providers and managing large data projects
- - Ability to connect technical concepts with business strategies
- - Leadership skills to guide a team of data engineers and analysts
- - Communication skills to explain complex data concepts to various audiences
Benefits
- - Competitive salary based on market rates
- - Opportunity to work with a diverse and talented team
- - Commitment to pay equity and equal opportunity
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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