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Vice President, Machine Learning

VIANT
Irvine, California, US
Full-time

WHAT YOU’LL DO

This individual will lead the development and implementation of sophisticated machine learning models and algorithms, you'll empower our teams to achieve exceptional ad targeting, optimization, and campaign personalization using a data-centric approach.

The Machine Learning Engineering team at Viant is dedicated to building a disruptive proprietary system. Leveraging advanced techniques, we aim to revolutionize historically manual and complex processes in digital ad creation, launch, and measurement into autonomous decision-making systems managing billions of events daily.

Your leadership will guide a team of machine learning engineers, driving Viant's next phase of growth with direct responsibility for developing and implementing pivotal and innovative models crucial to our ongoing success.

Interested in this role You can find all the relevant information in the description below.

THE DAY-TO-DAY

  • Lead the strategic direction and execution of the company's machine learning initiatives, centered around a data-centric approach and deep learning technologies.
  • Oversee a team of machine learning engineers, holding the team to high standards in engineering and quality practices, speed of delivery, architecture, design, and code quality.
  • Drive the development and deployment of advanced machine learning models ensuring they meet real-time inference demand of millions of requests per second with sub-millisecond latency.
  • Oversee project lifecycles, ensuring timely delivery of high-quality solutions.
  • Foster a culture of innovation and continuous improvement, ensuring the implementation of cutting-edge deep learning techniques and technologies.
  • Recruit, mentor, and develop a high-performing engineering team, fostering a collaborative and growth-oriented culture.
  • Partner with Executive Leaders, Engineering and Product to ensure the seamless integration of AI / ML solutions into our Advertising Products.

GREAT TO HAVE

  • 15+ years of experience, including 5+ years’ building and leading successful Data, ML / AI teams
  • Bachelor’s degree, with a strong academic record, in Computer Science or Engineering, Masters preferred
  • Strong experience building and applying machine learning models for business applications
  • Experience with Python and Deep learning frameworks (Keras, Tensorflow, Pytorch)
  • Proven ability to implement, operate, and deliver results via innovation at large scale
  • Demonstrated track record of cultivating strong working relationships with leadership and driving collaboration across multiple technical and business teams
  • Demonstrated success in delivering complex AI / ML projects in time and within budget
  • Ad tech industry experience is a plus

WHO WE ARE

Viant(NASDAQ : DSP) is a leading advertising software company that enables marketers to plan, execute and measure omnichannel ad campaigns through a cloud-based platform.

Viant’s self-service Demand Side Platform, Viant DSP, powers programmatic advertising across Connected TV, Linear TV, mobile, desktop, audio, gaming and digital out-of-home channels.

In 2022, Viant was recognized as a Leader in the DSP category, earned Great Place to Work certification and Co-Founders Tim and Chris Vanderhook were named EY Entrepreneurs of the Year.

To learn more, please visit viantinc.com.

LIFE AT VIANT

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.

$350,000 - $650,000 a yearTotal Annual Compensation $350,000 - $650,000 which includes salary, bonus and equity. 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.

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3 days ago
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