Senior Machine Learning Engineering Manager at Quantcast

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Advertising, AI, Marketing TechnologyIndustries

Requirements

Minimum 8-10 years of experience in Applied Science, Data Science, or Machine Learning, with a strong focus on model development and research
Minimum of 5 years in a leadership role managing Machine Learning Engineers or Applied Scientists
Deep expertise in designing, developing, and deploying complex machine learning models in a production environment, ideally within ad tech or a similar high-volume, data-intensive domain
Strong theoretical and practical understanding of ML algorithms, statistical modeling, and experimental design
Exceptional leadership, communication, and interpersonal skills, with a proven ability to inspire, influence, and align senior stakeholders across scientific, engineering, and business functions
Highly proficient in programming languages common to data science (e.g., Python, R, Scala)
Experience with large-scale data processing (e.g., Spark)
Master's degree or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field

Responsibilities

Lead and develop a team of Machine Learning Engineers to execute the engineering vision and roadmap for Quantcast's core modeling capabilities
Assist the team through the entire model lifecycle, from ideation and experimentation to robust deployment and ongoing optimization
Ensure models are statistically sound, performant, and deliver measurable business value
Serve as a key scientific leader and partner to Product Management, Engineering, and Commercial teams by educating others on team capabilities and prioritizing support needs
Drive strategic research, experimentation, and the integration of cutting-edge methodologies into the platform
Champion growth, provide continuous feedback, and fairly allocate research and development opportunities to maximize individual talent and team potential

Skills

Machine Learning

Engineering Management

Model Development

Model Deployment

Model Optimization

Forecasting

Fraud Detection

Audience Graph

Experimentation

Statistical Modeling

Team Leadership

Strategic Research

Quantcast

Digital advertising tools for marketers and publishers

About Quantcast

Quantcast simplifies digital advertising and privacy compliance for both marketers and publishers. It provides tools and insights that help clients understand and reach their target audiences effectively. For marketers, Quantcast offers advanced targeting and measurement tools to optimize advertising campaigns, while for publishers, it delivers insights into audience behavior to create engaging content and attract advertisers. Key products include Quantcast Measure, which offers detailed audience insights, and Quantcast Choice, which assists businesses in complying with privacy regulations like GDPR and TCF v2.0. Unlike many competitors, Quantcast focuses on both sides of the advertising ecosystem, catering to the needs of both marketers and publishers. The company's goal is to help clients navigate the complexities of digital advertising and privacy compliance, ultimately enhancing their advertising efforts and audience engagement.

San Francisco, CaliforniaHeadquarters

2006Year Founded

$63.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees