Quantcast

About Quantcast

AI-driven audience insights for smarter advertising

🏢 Tech👥 501-1000 employees📅 Founded 2006📍 Yerba Buena, San Francisco, CA💰 $65.3m3
B2BEnterpriseMarketingPublishingAnalyticsSaaSAdvertisingAutomation

Key Highlights

  • Headquartered in Yerba Buena, San Francisco, CA
  • Raised $65.3 million in Series C funding
  • Acquired by InMobi in 2023
  • 501-1000 employees focused on B2B marketing and analytics

Quantcast, headquartered in Yerba Buena, San Francisco, is a leader in audience insights and real-time advertising, leveraging AI-driven technology to optimize advertising outcomes. With over 500 employees, Quantcast has raised $65.3 million in Series C funding and offers a robust alternative to thi...

🎁 Benefits

Quantcast offers competitive salaries, equity options, generous PTO policies, and a flexible remote work environment to support work-life balance....

🌟 Culture

Quantcast fosters a privacy-first culture, prioritizing data accuracy and compliance with evolving regulations. The company values innovation and agil...

Overview

Quantcast is hiring a Senior Machine Learning Engineer to develop and maintain machine learning systems that optimize advertising technology. You'll work with large datasets and advanced algorithms to enhance the company's AI-powered Demand Side Platform. This role requires strong expertise in machine learning and data analysis.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying machine learning models in production environments. You are proficient in Python and have hands-on experience with frameworks like TensorFlow, which you have used to create scalable ML systems that deliver measurable outcomes.

You possess a solid understanding of data analysis techniques and are comfortable working with large datasets. Your experience includes exploring data, researching new algorithms, and experimenting with proof of concepts to drive innovation in machine learning applications.

You are passionate about the health and maintainability of systems, ensuring that engineering teams can work efficiently and effectively. You thrive in collaborative environments and enjoy leading efforts to craft and implement large-scale machine learning systems.

Desirable

Experience with cloud platforms such as AWS is a plus, as is familiarity with real-time data processing and auction systems. You have a keen interest in the advertising technology landscape and understand the importance of delivering high-quality demographic and behavioral analysis.

What you'll do

As a Senior Machine Learning Engineer at Quantcast, you will be responsible for developing and maintaining multiple machine learning products that process millions of bid requests per second. You will work closely with the Modeling team to enhance the capabilities of our AI-powered Demand Side Platform, ensuring that our models accurately predict key characteristics such as age, gender, and advertiser relevance.

You will lead initiatives to explore new algorithms and build scalable real-time production systems that tackle complex challenges in digital advertising. Your role will involve collaborating with cross-functional teams to integrate machine learning solutions into our existing infrastructure, driving improvements in performance and efficiency.

You will also be tasked with mentoring junior engineers, sharing your expertise in machine learning and data analysis, and fostering a culture of innovation within the team. Your contributions will directly impact the success of Quantcast's advertising technology, helping clients achieve their marketing goals.

What we offer

At Quantcast, we offer a dynamic work environment where you can make a significant impact on the future of digital advertising. You will have access to cutting-edge technology and resources to support your work in machine learning. We value collaboration and encourage you to bring your ideas to the table.

We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in revolutionizing how advertising technology works and be part of a team that is defining the future of the industry.

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