Senior Machine Learning Engineer, Quantcast

$171.7-232.3k

+ Bonus + Equity

Python
Java
Senior level
San Francisco Bay Area
Quantcast

Audience insights & real-time advertising

Be an early applicant

Quantcast

Audience insights & real-time advertising

501-1000 employees

B2BEnterpriseMarketingPublishingAnalyticsSaaSAdvertisingAutomation

Be an early applicant

$171.7-232.3k

+ Bonus + Equity

Python
Java
Senior level
San Francisco Bay Area

501-1000 employees

B2BEnterpriseMarketingPublishingAnalyticsSaaSAdvertisingAutomation

Company mission

To elevate the best of machine learning and human thinking to optimize advertising for better outcomes.

Role

Who you are

  • Fluency in Python, Java or similar programming languages
  • Strong skills in mathematics and statistics
  • Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems
  • An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering

What the job involves

  • The Modeling team is responsible for Machine Learning (ML) systems at Quantcast
  • We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes
  • For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics
  • Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content
  • As a Sr Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams
  • You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces
  • Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently
  • Run Machine Learning experiments to test new modeling ideas
  • Write clean, efficient, and maintainable code using industry best practices
  • Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members
  • Identify performance bottlenecks and optimize system components for enhanced scalability
  • Generate and review proposals for further research and development directions
  • Keep up to date with developments in machine learning outside the company

Our take

Third-party cookies are on the out following Google’s announcement they will no longer be allowed on Chrome. This has dealt a blow to advertisers, who are now looking for alternative ways of targeting potential customers. Quantcast is one of the companies offering a promising alternative, using AI-driven technology to facilitate advertising based on internet traffic.

This has given Quantcast a new and unexpected injection of interest. Moreover, this long run-up has given them time to develop a product with unparalleled data accuracy and a rich raft of features that puts it head-to-head with Google Analytics.

They are also ahead of the pack in adopting a privacy-first approach, including the appointment of new Chief Privacy Officer Min-Jae Lee. With privacy regulations currently disjointed but developing fast, this appointment will help Quantcast stay a leading and trusted organization in the field.

The company was boosted by an acquisition in 2023 from mobile-first tech giant InMobi. Quantcast has remained focused on the development and launching of new leading AI-driven products since then. If Quantcast can continue to deliver innovative capabilities, and inspire client confidence with its regulatory compliance, it is well insulated against the sector-wide changes anticipated over the years ahead.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

-20% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Nov 2011

$8m

SERIES C

Jan 2010

$31.6m

SERIES C

Total funding: $65.3m

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Prior to co-founding Quantcast, Feldman co-founded Searchspace (now Fortent). Prior to Searchspace, Feldman was a Research Fellow in the Intelligent Systems Laboratory at University College London.

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