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The Machine Learning team at Viant is revolutionizing the Ad Tech industry with innovative machine learning systems. By automating manual processes in creating, launching, and measuring digital ads, we build autonomous systems that process hundreds of millions of events daily. We are seeking an experienced and visionary Director of Applied Science to lead the development and implementation of machine learning solutions that drive significant business impact.
Job Responsibility:
Provide strategic and technical leadership to the Machine Learning Engineering team
Own the end-to-end development, deployment, and maintenance of machine learning models
Develop and coach a team of machine learning engineers
Apply advanced machine learning techniques to solve problems such as content demand forecasting, incremental value measurement, and personalization
Collaborate with cross-functional teams to deliver actionable insights and guide strategic decisions
Drive innovation by researching and implementing new methodologies
Build and nurture relationships with stakeholders
Requirements:
10+ years of experience in machine learning
at least 5+ years leading and scaling high-performing teams
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree preferred
Strong expertise in developing and applying machine learning models for real-world business applications
Proven ability to deliver results at scale through innovation and operational excellence
Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry
Demonstrated track record of fostering collaboration across technical and business teams
Nice to have:
PhD in Machine Learning, Computer Science, or a related field
Experience in the Ad Tech industry or with digital advertising systems
Publications or contributions to leading conferences in machine learning or data science
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