Machine Learning Engineer, Quantcast

Salary not provided

Plus eligibility for a performance bonus and equity

Python

Java

Entry and Junior level

London

Audience insights & real-time advertising

Job no longer available

Audience insights & real-time advertising

501-1000 employees

B2BEnterpriseMarketingPublishingAnalyticsSaaSAdvertisingAutomation

Job no longer available

Salary not provided

Plus eligibility for a performance bonus and equity

Python

Java

Entry and Junior level

London

501-1000 employees

B2BEnterpriseMarketingPublishingAnalyticsSaaSAdvertisingAutomation

Company mission

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

Job

Company

Role

Who you are

You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field
Fluency in Python, Java or similar programming languages
Strong skills in mathematics and statistics
Exposure to 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
As a 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
Write clean, efficient, and maintainable code using industry best practices
Collaborate closely with product and platform 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

Salary benchmarks

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

Company Specialist at Welcome to the Jungle

Insights

Top investors

-20% employee growth in 12 months

Glassdoor (3)

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

Konrad Feldman

(CEO)

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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