Director, Applied Science

WHAT YOU’LL DO

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.

In this role, you will define the team’s strategic direction, cultivate a high-performance engineering culture, and deliver innovative models and systems to address complex business challenges.

• Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives.
• Own the end-to-end development, deployment, and maintenance of machine learning models that power Viant’s products and services.
• Develop and coach a team of machine learning engineers, fostering a culture of excellence in engineering practices, architecture, and quality.
• Apply advanced machine learning techniques, including supervised learning and causal inference, to solve problems such as content demand forecasting, incremental value measurement, and personalization.
• Collaborate with cross-functional teams, including Product, Finance, and Content leadership, to deliver actionable insights and guide strategic decisions.
• Drive innovation by researching and implementing new methodologies, statistical techniques, and machine learning approaches.
• Build and nurture relationships with stakeholders, ensuring timely delivery of impactful machine learning solutions.

• 10+ years of experience in machine learning, with 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.

• 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.

Investing in our employee’s professional growth is important to us, but so is investing in their well‑being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance
, paid parental leave and unlimited PTO and more.

Base compensation range: $220,000 - $260,000

In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.

Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI‑powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of Viant

AI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best AI‑Powered Advertising Solution and Best Demand‑Side Platform by Mar Tech Breakthrough, Great Place to Work® certification and received the Business Intelligence Group’s AI Excellence Award. Learn more at

Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin,…