Director of Machine Learning, ML Datasets Engineering

About the role

*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv

We are looking for a Director of Machine Learning specializing in Dataset Engineering to lead our strategic efforts in data acquisition, management, and optimization. This role combines strategic thinking with hands-on data analysis and technical expertise.

What you'll do

• 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

What you'll need

• 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

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage, and industry, and salary is just one part of the overall compensation package we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, and qualifications assessed during the interview process and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $400,000-$490,000