Director of Machine Learning, Dataset Engineering
Remote
Runway is a research company pioneering new tools for human imagination. Runway has been at the forefront of multi-modal AI systems ensuring that the future of content creation is accessible, controllable and empowering for creatives. Runway’s mission is to ensure that anyone anywhere can tell their stories. We believe that deep learning techniques applied to audiovisual content will forever change art, creativity, and design tools.
Runway is leading a shift to generative media that is unlocking an unprecedented level of creative potential. The invention of the camera 200 years ago forever changed our world – AI is a new kind of camera that will reshape storytelling forever and lead to full feature films that are entirely generated.
About the role
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.
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
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
Working at Runway
Great things come from great teams. We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Runway Research
- Runway's AI Film Festival
- Creative Dialogues Series
- Runway Studios
- Our Behaviors and Company Mission
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Job Profile
Competitive salary Diverse workplace Equal opportunity Pay equity
Tasks- Analyze data ecosystem
- Develop data strategies
- Establish data partnerships
- Manage data costs
- Participate in data analysis
- Work with external partners
AI Communication Content Creation Creativity Data analysis Data cost management Data Management Data optimization Data partnerships Dataset engineering Data strategies Deep Learning Leadership Machine Learning Multimodal datasets Partnerships
Experience8 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9