---
title: 'Machine Learning Engineer at Quantcast'
canonical: 'https://feeny.ai/job/machine-learning-engineer-quantcast-london-bwpwt3jr334v'
type: 'job'
last_seen: '2026-10-18'
---

# Machine Learning Engineer at Quantcast

- **Company:** Quantcast
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/quantcast/c7c68a81-188a-463c-96b7-0bdfac6be655

## Job description

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising? The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain high-frequency ML infrastructure that prices millions of advertising opportunities per second in a real-time auction environment to maximise advertiser outcomes. In less than 100 milliseconds, our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics of internet users. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in their products.

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.

What you'll do:

- 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.
- Collaborate with senior scientists and engineers to iterate on ML models and learn industry best practices for high-quality ML products and large-scale systems.
- Write clean, efficient, and maintainable code using industry best practices.
- Participate in code reviews and provide constructive feedback to team members.
- Identify performance bottlenecks and optimise system components for enhanced scalability.
- Keep up to date with developments in machine learning outside the company.
- Receive hands-on mentorship from senior scientists and engineers to help bridge academic concepts with industrial scale.

Who you are:

- Experience: 0-2 years of experience (including internships or significant academic projects) in machine learning or applied statistics.
- Academic Background: A degree in Computer Science, Mathematics, Software Engineering, or an adjacent field.
- Technical Foundation: Fluency in Python, Java, or similar programming languages.
- Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing.
- ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).
- Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).
- Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.

At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our [Careers Page](https://www.quantcast.com/careers/) and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the [Applicant Privacy Notice](https://legal.quantcast.com/#applicant-privacy-notice) for details on our applicant privacy policy. Join the team that unlocks potential.

## About Quantcast

## Company Overview
- **One-liner**: Quantcast is an AI-powered advertising technology platform that helps brands and agencies reach audiences through a demand-side platform (DSP) using real-time data and machine learning.
- **Entity Type**: Private (Acquired by InMobi Pte. Ltd.; last reported funding Series C)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2006
- **Founders**: Konrad Feldman (CEO)

## Core Business
- Primary industry/industries: Advertising Technology (AdTech), Digital Media, Programmatic Advertising
- Target customers: B2B — brands, agencies, and publishers (enterprise and SMB)
- Mission or purpose statement: To level the playing field so everyone benefits from a free and open internet; to simplify digital advertising by connecting brands to their audiences with AI-powered insights and measurement.

## Products & Services
- **Quantcast Platform (DSP)**: A self-serve demand-side platform that uses AI to plan, activate, measure, and optimize programmatic advertising campaigns across display, video, mobile, and connected TV.
- **Quantcast Measure**: A free audience measurement tool for publishers (used by 100 million global web destinations daily) that provides real-time, first-party data insights using machine learning.
- **Quantcast Advertise**: A managed-service offering that leverages predictive models and first-party data for cookieless, addressable advertising.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as a private company.
- **Key Metric**: Annual Revenue of $313.3 million; Total Funding of $65.3 million.
- **Notable Investors/Partners**: Founders Fund, Polaris Partners, Cisco. Parent company: InMobi Pte. Ltd. Key partners and customers include major agencies and brands, along with publishers across 100M+ global web destinations.
- **Growth Signals**: Headcount of 410 employees (+15.4% YoY); active job postings increasing +90.9% yearly; operates in 19 countries with offices across 10 countries (US, Canada, UK, Ireland, France, Germany, Italy, Sweden, Australia, Singapore, India). Named a Leader in G2’s Demand-Side Platform Category.

## Competitive Advantages
- **Proprietary Audience Graph & AI**: Built on two decades of data intelligence, making billions of decisions per second to identify high-converting audiences without relying on third-party cookies.
- **First-Mover in Cookieless Advertising**: The first managed-service DSP to use predictive models independent of third-party data, providing a future-proof solution for advertisers.
- **Unified Platform**: End-to-end workflow from planning and activation to measurement and reporting, all under one easy-to-use interface.

## Strategic Focus
- Expanding autonomous advertising capabilities with Q+ (AI-driven campaign performance).
- Deepening first-party data and cookieless addressability solutions to stay ahead of industry privacy changes.
- Continuing global expansion and headcount growth across engineering, sales, and marketing teams.

## Why Work Here
- **Culture**: Emphasizes "Own it" (responsibility, integrity, inclusion) and "Velocity" (ruthless prioritization, fast execution, valuing results over effort). Founder-led and diverse organization with offices across 10 countries.
- **Work Policy**: Hybrid model for most roles, with some on-site positions at HQ (San Francisco). Offers "Working From Anywhere" (WFA) weeks and flexible remote options.
- **Notable Perks**: Comprehensive healthcare, generous vacation/time off, hybrid WFA weeks, mental wellbeing support, stock/share option grants, catered lunches and stocked kitchens, commuter benefits, learning & development opportunities, global mentorship program, employee resource groups, parental benefits, and mobile phone benefits.
- **Tech Stack**: Python, Scala, Go, Java, Ruby, C++, SQL, PostgreSQL, Redis, React, Kafka, Spark, Salesforce, Marketo, JIRA, Wrike.

## Sources
1. [Quantcast.com](https://www.quantcast.com/)
2. [Quantcast - About Us](https://www.quantcast.com/about-us/)
3. [Quantcast - Careers](https://www.quantcast.com/careers/)
4. [LinkedIn - Quantcast](https://www.linkedin.com/company/quantcast)
5. [Built In - Quantcast](https://builtin.com/company/quantcast)
6. [Quantcast Jobs (Ashby)](https://jobs.ashbyhq.com/quantcast)

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